LTIMindtree

Associate Principal - Data Sciences & AI

Senior Specialist - Data Sciences & AI

Mindtree

Technical Lead

AI Time Journal

AI Time Journal is a publishing platform that strives to aware users of and around the world of Artificial Intelligence, growing technology trends, and other industry news.

My responsibilities as an Associate Editor include the following:
1. Write articles that highlight current happenings of artificial intelligence
2. Coordinate with Data experts, AI researchers, Engineers, and Developers to know their work, interview them and highlight their contribution towards Artificial Intelligence and other technology areas.
3. Work with the team to create awareness on multiple AI-related topics and perform research based on different innovations and inventions happening in the technology and AI sector.

Associate Editor

World Business Angels Investment Forum

World Business Angels Investment Forum is an affiliated partner of the G20 Global Partnership for Financial Inclusion (GPFI), the World Business Angels Investment Forum (WBAF) is committed to collaborating globally to empower the economic development of the world by fostering innovative financial instruments for startups, scaleups, innovators, entrepreneurs, and SMEs and to promoting gender equality and women’s participation in all sectors of the world economy.

International Partner

Techno Code LLP

Worked on real time data problems and focused on building data models that led to valuable insights and outcomes.
Have experienced working with Web and Data Scrapping, Data Cleaning, Machine Learning models, NLP, Image Processing, and more.
Primary responsibility was to code and program the system and validate the model with different test cases.
Worked in Python programming language as the core development language and MySQL as the RDBMS.

Data Scientist & AI Expert

Techno Code LLP founded in the year 2015 with an aim to provide cutting-edge technology products and services to business organizations and individuals. Our main aim is to develop services that are used by millions and billions of people.
Our services include:
1. Website Design and Development
2. Mobile Application Development
3. Software Application Development
4. Logo and Graphic Designing
5. Digital Marketing
6. Search Engine Optimization (SEO)
7. E-commerce Development
8. Data Analysis
and many more.

You can also find us on all major social media sites, which includes:
1. Facebook: https://facebook.com/technocodellp
2. LinkedIn: https://in.linkedin.com/company/techno-code
3. Twitter: https://twitter.com/technocodellp
4. Google+: https://plus.google.com/+TechnocodeLLP

For any queries or to get in touch, you can personal message me or get in touch with me directly.

Founder, Director

Laboratoire des Sciences du Numérique de Nantes (LS2N)

The project that I was deployed on was "Machine Learning on Crowdsourced Data". It basically aimed to help classify reliable workers (the one's who provide input vote for a task in crowdsourcing system) based on their votes provided to a certain task. This was achieved by using Machine Learning techniques. Majority Voting was used along with a statistical metric termed "Confidence Factor". By using this technique and metric, the project was implemented and workers were classified.

Research And Development Intern

Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)

Research Intern at IIRS (ISRO). Job to apply image processing and data analysis techniques such as classification, clustering, machine learning, etc. Techniques are to be applied on satellite image data and analysis and comparison with existing techniques needs to done.

Research Intern

Suven Consultants and Technology Pvt.Ltd.

Web Developer, developed projects like: Online Phone-book System, Social Networking Site, Club Management System using WordPress and many more.
My responsibilities were to develop such projects using languages: HTML, HTML 5, PHP, MySQL, JavaScript, Jquery, CSS, CSS3.
Also used WordPress which is an Open Source Content Management System (CMS).

Trainee

Technical Lead at LTIMindtree | Thought Leader at Global AI Hub | Associate Editor at AI Time Journal

Akshay is an Associate Principal at LTIMindtree, where he drives innovation within the Industrial AI vertical. With over a decade of experience in data science and AI, he specializes in developing data-driven and AI-powered solutions, encompassing areas like Machine Learning, Computer Vision, Natural Language Processing, and Generative AI.

His expertise spans the entire spectrum of the AI industry, from business requirement understanding and P&L management to building scalable architectures, ensuring end-to-end use case delivery, and leading technology development and team management. This comprehensive skill set allows Akshay to deliver intelligent solutions with significant business impact.

Beyond his technical roles, Akshay is a prolific technology blogger and content writer, sharing insights on technology, business, startups, and entrepreneurship. He previously served as an Associate Editor at AI Time Journal, where he conducted interviews and podcasts with leading figures in the data and AI industry. In his early career, he also mentored students and professionals in various technology domains and programming languages, including Python, AI, ReactJS, and PHP.

To connect with Akshay, please reach out via personal message on LinkedIn.

Akshay Toshniwal

ITC Holdings Corp.

A role through TekSystems as the contractor.

System Analyst

Women In Data

Coaching a group of four women through the Women in Data organization mentorship program, as a mentor.

Mentor

Omdena

Project scope is to build an AI product that is set up as an analysis tool that allows for the comparison and ranking of antigens of certain virus proteomes.  Please see the attached link for further information.

Machine Learning Collaborator

Sight Machine

• Performing exploratory data analyses, generating and testing working hypotheses, preparing and analyzing historical data.
• Working directly with client in variable selection as well as explaining and presenting results in non-technical language with 
regards to model accuracy evaluation, and additional feature engineering.
• Utilize a diverse set of technologies, tools and cloud services
• Modeling and evaluation of training iterations (customer-by-customer, as well as iterations on existing releases)
• Carry out a statistical analysis framework with F tests & T tests. 
• Work with senior members to communicate and collaborate effectively to the success of delivery of projects.
• Ability to educate customer on project goals and solutions and set realistic expectations.

Data Scientist

• Exploration and application of end-user visualization tools to drive customer needs.
• Maintain and update technical / non-technical documentation pertaining to aspects of responsibility

Customer Engagement Manager

• Work with customer and data architect teams to identify data ingestion and transformation needs
• Collaborate across teams, track project progress, and communicate between technical and business groups.

Technical Delivery Manager

ML Collaborator on Forecasting of Water Availability and Electricity Price for Think Outside

Part of a team to build an AI tool/algorithm that can detect EV charging from smart meter data.

ML Collaborator for an AI tool that can detect EV charging from smart meter data for EnergyHub 

Part of a team of 50+ data scientist volunteer collaborators to build a 12-hour Rainfall Forecasting AI Model to Mitigate Climate Change Variability in West Africa.

Exploratory Data Analysis Task Lead
Responsible for leading 5+ collaborators in the phase of exploratory data analysis.  This entailed attending regular meetings for other tasks such as data collection and data preparation/cleaning so as to be up to speed on the project progression.  After which, leading the team through the EDA tasks by way of weekly task meeting as well as preparing and/or presenting at the weekly team meetings to the partner.  Preparing and presenting at the Mid-Term meeting to the partner on findings and result up to the point.  Finally, collaboratively working with all task leaders to prepare the final report on the project to the partner, as well as preparing/finalizing and presenting at the Final Presentation to the partner.

ML Collaborator on a forecasting AI model to mitigate climate change variability for Kanda Weather

Announcement of Completion post:


- A 8-week Residency program to examine the opportunity and need for workforce transformation in the city of Rancho Cordova.
- Internship to practice the data science method: problem understanding / project scoping, data collection, data discovery, hypothesis development, Analysis, Validation and Reporting findings to client.
- Heavy collaboration; 10 women in 2 teams, working together to examine one real-life scenario
- Opportunity to communicate and present analysis work and findings, as well as pose and dissect questions requirement for the development of the project.

Data Science Residency Program on Workforce Transformation

naviHealth

Working in SQL to build various queries for business needs.

Provider Data Analyst

Upwork

Short-duration project on SQL consulting of a specific set of queries.

Data Science | Freelance 

AccumTech

•	Ownership over an independent project to drive the execution of its components, results, and development.
•	Design SQL queries for data extraction to analyze the data, test hypotheses, find root causes & gain insights.
•	Collaborate closely with team data analysts, leadership, and developers to empower data-driven decisions.

Database Analyst

IBM Watson Health

•	Develop and sustain productive client relationships by placing clients (internal and external) and their needs primary in the focus of the day-to-day responsibilities.
•	Monitor and investigate data inconsistencies or variances and employ resolution methods to correct data quality issues (supplier or internally driven).
•	Lead the implementation of data feeds to client databases by meeting technical specification requirements, managing programming requirements for consistency and/or quality, and collaborating with SMEs and data analysts to ensure the targeted data meets client’s needs.

Data Management Consultant

Data Analytics | Data Literacy | Statistics

Data professional with experience as a Data Analyst, Data Management Consultant, Database Analyst and Data Scientist.   Able to work independently, within a team environment, and collaborate effectively cross-functionally.     Able to explain to customer, in non-technical terms, the aspects of modeling considerations as well as findings and results from data exploration and training of a model. Passionate about identifying and delivering business solutions for clients using ML/AI

Some basics I have learned along the way in my background experience, includes things like:
- ERD (Entity Relationship Diagrams) 
- Data Dictionaries
- Relational Databases 
- Start Schemas
- Microsoft SQL servers 
- Postgres SQL Servers
- Database Implementations
- Data Platform ETL Pipeline
- Github / command line 
- ML workflow / deployment
- Familiar with Pandas, Numpy, Matplotlib and Seaborn

I have mainly studied Classification, Regression and Gradient Boosting models when it comes to my current background in ML/AI.  This experience is primarily from three sources:  
- a) my incessant learning of machine learning from Coursera, Udemy, DataCamp and Azure Cloud, and books
- b) the Omdena Machine Learning collaboration experience in three projects 
- c) my experience recently at Sight Machine with the work on an end-to-end ML Analytics tool
But I will also say that I participated in the 2021 WiDS Kaggle Datathon and did write a paper and won the Excellence Honorary Mention with our group (see the full featured section for these older announcements)

- I have some experience with data visualization (Cognos, PowerBi, Tableau).
- and I love working with Excel!

I am really passionate about having the opportunity to use ML knowledge (/and building this expertise) to provide technology and business solutions by utilizing machine learning techniques,  statistical methods, MLOps. 

My experience is broad with different roles, environments, companies.  This has made me a quick learner, flexible with new situations and challenges.  It has taught me strong interpersonal skills and teamworking skills.  I have strong analytical and problem-solving skills, and this is where I thrive the most, in being a solution oriented person.   Another strength of mine that is sometimes underrated by many is being a highly detail oriented person, well organized, and able to coordinate multiple projects.

Also fun fact:  I am published in the journal of Biological Chemistry, proud accomplishment to commemorate my 6+ years of research. 

If my background and profile resonates with you, let's connect!

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