Neema Madayi Veetil

Verizon

• Identified pitfalls that led to customer churn, implemented methodologies to reduce churn & improved annual retained revenue to $10M for 5g Fixed Wireless Access Home Services via leveraging ML techniques.
• Mentored 4 individuals on the offshore team for VBG Analytics; improved operational efficiency by 50%.
• Spearheaded the development of a prediction model to study customers who are likely to complete a purchase journey; increased the upgrades by 20%.
• Led a team to drive strategy leveraging business insights and analytics/ML solutions for the consumer organization via developing dashboards for infra-month Next Best Experience (NBx) performance insights.

Senior Business Intelligence Consultant

• Spearheaded the development of campaign effectiveness dashboards comparing pre & post-data; improved business decision-making by 25% for the Verizon Consumer Market Team.
• Developed a predictive model to forecast VBG Wireless Business Markets KPIs (gross adds, upgrades, & disconnects using daily actuals & promotion data); automated the manual forecast by 95%.
• Led a team of 4 cross-functional individuals along with SMEs & C-level executives to develop a forecasting model to predict the month-end sales to optimize business quota; streamlined the process by 80%.

Spec - Business Intelligence 

Chennai Wordsmiths Toastmasters Club

This is a Volunteer role. 
• Member at Chennai Wordsmith Toastmasters Club.
• Public Speaker to complete 'Persuasive Influence'
• Present Minites of Meeting & take Notes in the absence of Secretary

Secretary

Omdena

Video Violence Detection:

The goal of this project is to build 2 AI models to effectively detect aggressive and violent behavior between caregivers and children or seniors under their care by means of an AI solution using state-of-the-art deep learning and computer vision approaches. Currently working as a Collaborator on the below tasks: 
• Task 1 "Object Detection between classes - caregiver and child"
• Task 4 "Building ConvLSTM model" to detect violence detection between children and caregivers.
• Assisted on Final Project Report

Machine Learning Engineer

LatentView Analytics

• Collaborated with 3 members to analyze campaign effectiveness pre & post the campaigns; understanding pre-campaign bias between the test V/S control environments to determine the impact within the holiday campaigns.
• Analyzed re-activations for the years 2015 & 2016 & created process re-engineering implications; increased re-activation by 30% in 2016.
• Improved decision-making efforts by 30% via leveraging multiple dashboards & analyzing multimillion rows of data within SQL.

Senior Analyst

• Collaborated with several teams on different domains such as Campaign Analytics, Website Analytics, and Consumer Analytics for Latin America Region.
• Extracted data feed for analysis using SQL/Python as per the client's requirement.
• Analyzed important KPIs and track the measurements in the tableau dashboard used by the Marketing Team and Business Team.
• Enhanced the dashboards with additional features/metrics.
• Collaborated with clients in the US, Mexico, Brazil, and other latin american regions with their daily tasks/operations.

Analyst

S&P Global Market Intelligence

•	Use VBA / MS Access / SQL / Python and any other programming language to develop and maintain data bases to bring efficiency and scalability in the current processes. 
•	Aggregate data feed from different sources and produce reports by using programming and/or report writing tools. 
•	Interpret trade and market price information to enable the maintenance of credit spread, collateral and performance information for a defined universe of securities. 
•	Perform basic credit analysis on agency and non-agency securities. 
•	Perform pricing quality assurance. Research specific models (market sectors) for large outliers. 
•	Assist in the implementation/testing of various pricing technology initiatives. 
•	Aggregate trade colors and maintain data to be used by group for pricing securities. 
•	Liaise with colleagues in New York and London on day to day tasks/operations.

Quantitative Analyst

BNY Mellon

•	Worked with the internal and external data providers (ISS)Institutional Shareholder Services and Glass-Lewis to create a dashboard of metrics in MS SharePoint for the committee to complete the vote decisions at our portfolio companies held by client base.
•	Developed system task scheduler to transfer the files from the Mellon ftp site to the Proxy Voting and Governance Committee (PVGC) SharePoint site.
•	Developed automated VBA application that exports multiple dashboard (company-wise) with the data investment models to Proxy Voting Governance Committee (PVGC) SharePoint site.
•	Worked with the vendor program Equilar, to develop  SharePoint dashboards that include the compensation models along with the existing data investment model.

Technology Analyst Co-op

Tata Consultancy Services

•	Assigned to monitor the various source systems of Data & BI (Personal Claims Section).
•	Reported the failures.Fixed the problems and incidents that come under the defect log.

Assistant System Engineer

Data Scientist | Analytics | Canadian PR holder| Driving Business Growth with Data | Top LinkedIn Community Data Science Voice 💡| AIML | Python & SQL📊

As a seasoned professional with a rich background in engineering and analytics, I've honed my leadership and technical skills across various roles, including Senior Engineer Consultant, Senior Analyst, and Quality Analyst. My career is marked by a steadfast commitment to excellence, demonstrated through successful project management from inception to delivery. I've navigated complex challenges across diverse domains such as Customer Experience (CX), Marketing Analytics, Product Analytics, and Financial Planning & Analysis (FP&A), contributing to significant business outcomes.

Currently based in Canada as a Permanent Resident, I am actively seeking new challenges in the Data Science and Analytics arena. My previous tenure at Verizon VCG (Platform Analytics & Insights) allowed me to delve deep into advanced analytics, where I designed and implemented Machine Learning models and forecasting techniques (including ARIMA, exponential smoothing, LightGBM, and Catboost) tailored for the Verizon Business Group segments. My expertise also extends to crafting insightful dashboards and reports using Tableau, empowering data-driven decision-making.

Key Achievements:
- Elevated the operational efficiency of the VBG Analytics offshore team by mentoring a group of 4 data scientists, achieving a 50% improvement.
- Devised strategies that significantly reduced customer churn, leveraging ML techniques to secure an annual retained revenue increase of $10M for 5G Fixed Wireless Access Home Services.
- Led the creation of campaign effectiveness dashboards, enhancing business decision-making efficiency by 25% for the Verizon Consumer Market Team.
- Before Verizon, I enriched my analytics acumen at Latent View Analytics, Chennai, focusing on Marketing Analytics, Product Analytics, and Campaign Analytics.

Explore My Work:
- Portfolio: https://mvneema.github.io/DataSciencePortfolio-Neema/
- GitHub: https://github.com/mvneema

Skillset:
- Expertise in analyzing customer journeys to deliver actionable insights.
- Proficiency in developing predictive analytics models using ML/NN algorithms.
- Advanced capabilities in creating data visualizations and dashboards with Tableau, Power BI, and Looker.
- Technical proficiency in Python, SQL, R, JavaScript, C++, and C.

I am committed to continuous learning, staying abreast of the latest trends in Data Science and AI to integrate cutting-edge solutions and innovations into my work.

Found & Podcast Host

Real Good News 🙌



I got a job! 

More on jobsearch story later! 

I would like to thank all of you who have been supportive and encouraging to me during the job search in this terrible job market. 


For my fellow #jobseekers, your time will come! keep saying that as I did cause that's reality. 💯 

#career #jobsearch #immigrants #newbegining #grateful 

I am a Data Scientist with 8 plus years of experience and a Master in Computer Science from Northeastern University, USA. I have extensive experience in catering to the business needs of multiple stakeholders with data-driven insights using Python, SQL, Tableau, Power BI, Looker, MS Excel, Machine Learning Models, and forecasting models such as ARIMA, exponential smoothing, light GBM, Catboost, etc . 

I have proven track record of leadership excellence. In my diverse role as Sr. Engineer Consultant, Senior Analyst, and Quality Analyst, I have acquired the skills and experience to own and take projects from idea to deliverables. I have worked on a wide range of projects across different domains like Customer Experience (CX), Marketing Analytics, Product Analytics, and FP&A (Financial Planning & analysis). 

Currently, I am a Canadian PR Holder and am open to opportunities related to the Data Science and Analytics field. Previously I worked at Verizon VCG (Platform Analytics & Insights), Predominantly worked on advanced analytics tasks such as Machine Learning Models, and forecasting models such as ARIMA, exponential smoothing, light GBM, Catboost, etc for Verizon Business Group segments. Also working on tasks includes building dashboards and reports using Tableau.

My Accomplishments:
- Mentored team of 4 data scientists on the offshore team for VBG Analytics; improved operational efficiency by 50%
- Identified pitfalls that led to customer churn, implemented methodologies to reduce churn & improved annual retained revenue to $10M for 5g Fixed Wireless Access Home Services via leveraging ML techniques
- Spearheaded the development of campaign effectiveness dashboards comparing pre & post-data; improved business decision-making by 25% for the Verizon Consumer Market Team

Previously worked as a Senior Analyst for Latent View Analytics - Chennai. Primarily in Marketing Analytics. Product Analytics, & Campaign Analytics.

Check out my portfolio https://mvneema.github.io/DataSciencePortfolio-Neema/

Follow my GitHub profile: https://github.com/mvneema

My Skillset includes:
- Analyze Customer journey to provide recommendations 
- Develop ML/NN algorithm for predictive analytics
- Building Data Visualizing reports and Dashboards using Tableau, Power BI, Looker
- Technical skills: Python, SQL, R, Javascript, C++, C

I stay updated on the latest trends in Data Science & AI to keep updated on cutting-edge solutions/innovations.

Tagging Alert ⚠️ 


During my 5 months long networking and job search. I would like to convey my gratitude to folks who genuinely helped throughout the process. 

Neethu Madayi Veetil Nevaan Nair Albert Bellamy Aniket Singh Magdolna Günther-Nyeső Sundar Rajan Ulaganathan Pradeep C Riyaz Khan Thrise Nathan Shivananth Kanagaraj  Anu Badri Narayanan Bhavana Satish Priyesh Subramanian, PMP®, SAFe® Program Consultant David Nash Chester Fedoruk Clarisa Ampié Joshua Omolewa, MEng Diana Krucia Biswas Benjamen Olayiwola Ben Tsang Akshay Toshniwal and more.. 

Apologies if I missed anyone.. 🙏

During the end of my job search process, people from other parts of the world were willing to refer me ❤️

I truly recognized the power of networking! 🤝

If there is one thing you would want to take from this post is, networking truly helps in getting that job for you! 

Mental Reminder for Myself: Don't Stop Networking!

PS: Most likely LinkedIn will block me for tagging these many people. 😅

#immigrant #immigrantlife #networking #jobsearch #jobtips 

Taplio

Neema Madayi Veetil's Linkedin Analytics