Award-winning Technology Executive and product innovation thought leader with a 18+ year record of excellence positively impacting multi-million and multi-billion dollar product and service ecosystems—for startups to Fortune 100s.

A change management driver capable of “selling” transition, and leading innovation strategy, governance, and delivery across an organisation. Bridges siloes between technical and business factions to ensure feasibility and end user satisfaction. A future-thinker capable of seeing the big picture with cognisance of the smaller details; strong ability to anticipate, envision, define, enlist, and enact—identifying what is most needed tomorrow and today.

Experience leading direct reports; DevOps, enterprise architects, and support divisions; equivalent success overseeing project teams with no role authority. History of mentoring individuals to career advancement; thrives as a catalyst for collective achievement.

Sanat Hegde

Carnegie Mellon University

94700 - Organizational Design and Implementation

Graduate Teaching Assistant

95-712 - Object Oriented Programming in Java

94-879 - Fundamentals of Operationalizing AI

MIO Partners, Inc.

• Full Stack: Automated data fetching into Tableau from an AWS Data Service, reducing manual user efforts by 8 hours/week, by engineering a web data connector using JavaScript, NodeJS, HTML, & CSS, & integrating AWS Cognito for authentication
• Cloud Migration: Modernized the ETL data pipeline by migrating 36 on-prem jobs to AWS cloud, saving $10k in monthly costs & reducing processing time by 50%, by using Step Functions, Lambda, S3 to load financial market data from 6 vendors into MySQL

Software Engineer Intern

94-815: Agent - Based Modeling and Digital Twins (Prof. Anand Rao)

95-466: Advanced Business Analytics (Prof. Rahul Telang)

94-812: Applications of NLX and LLM (Professor Anand Rao)

Graduate Research Assistant

Carnegie Mellon University Software and Societal Systems Department

17-634: Applied Machine Learning (Professor Dr. Thomas P. Scanlon)

Blackstraw.ai

•	Predictive Modeling - Orchestrated a 4-member data science team to develop machine learning models using Python, Scikit-learn (XGBoost) & performed end-to-end testing using unittest to provide personalized jobs for users generating $2M annually 
•	Model Integration - Deployed a machine learning model as a scalable and fault tolerant microservice on Azure Kubernetes, triggered by Apache Kafka events and integrated with Snowflake for distributed storage, catering to ~160k users
•	Prototyping and Innovation - Collaborated with cross-functional stakeholders to create a proof of concept for planning, scheduling, and route optimization using agile methodology for a market research leader, reducing costs by ~$700k annually

Data Scientist - II

•	Computer Vision - Steered a 3-member team to build a Document Extraction Platform for processing commercial invoices using multi-modal architecture, reducing annual expenses by $450k and deploying the Data Pipeline in Azure Synapse 
•	API Monitoring and Validation - Engineered real-time Grafana dashboard using Azure Functions and MongoDB to monitor key business and system performance metrics (KPIs) reducing error identification and root cause analysis efforts by 50% 
•	Analytical Modeling - Collaborated with a 3-member data science team to build a Quality Control Decision Layer using time series models to forecast sales for consumer products, decreasing real-time alerts by 40% and human supervision by 80%

Data Scientist - I

•	Feature Engineering - Implemented a Churn Prediction & Retention model using Random Forest algorithm & designed a FastAPI to run predictions and store them in PostgreSQL to aid the Customer Relationship Team, preventing revenue leakage of ~$600k 
•	Natural Language Processing - Performed topic modeling (LDA) & sentiment analysis on customer feedback surveys and designed a Tableau dashboard to provide data driven insights for an e-commerce client, improving users experience by 20%

Jr. Data Scientist

Deloitte India (Offices of the US)

Collaborated on a consulting engagement focussed on the migration from on- premise legacy systems to Oracle Cloud ERP to optimize business processes

Business Technology Analyst Intern

Enactus DTU

Pioneered a sustainable business model to rehabilitate 7 acid attack victims generating $10k in annual revenue

Head of Market Research

Concentrix India

Using Text Analysis (Pre-processing, Cleaning, Modelling & Reporting) to extract meaningful insights from the ‘comment section’ in the feedback survey given to customers of an E-commerce client.

Data Science and Business Analytics Intern

Professor Sameer Mathur

~ Acquired the skills to depict, illustrate, and scrutinize datasets through the utilization of RStudio
~ Proficiently grasped regression techniques and data visualization tools, subsequently employing them to address three business scenarios featured in Harvard Business Review

Data Analytics using R

Teach For India

Conducted 40+ classes & 20+ practical assignments for 200 students at Govt. Girls Senior Sec School, New Delhi to promote hands-on learning

Summer Intern

Harshit is a graduate student at Carnegie Mellon University pursuing Masters in Information Systems and Management with a concentration in Business Intelligence and Data Analytics. 

During his teens, observing the significant social and economic impact that technological innovations can deliver, he decided to pursue the field of Computer Science and engineering for his undergraduate degree. 

Witnessing the power of analytics to drive strategic business decisions and innovation in his three years as a Data Science and Analytics professional within an AI-driven start-up environment, has molded him into a resolute admirer of technology combined with sound business acumen to deliver efficient solutions to business problems.

He made the choice to embark on a master's degree program abroad as a way to challenge himself, enhance his personal growth, sharpen his strategic thinking, and boost his problem-solving skills. This decision brings him closer to his goal of becoming a leader who can drive business transformation, design scalable data–driven solutions and democratize the use of data and analytics across organizations.

He maintains a consistent commitment to achieving balance between personal life, ongoing learning endeavors, and exploration, driven by a relentless desire to broaden his knowledge horizons.

He is passionate about tennis, an amateur guitarist and loves to read about geopolitics and emerging fields in Artificial Intelligence.

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Sanat Hegde

Harshit Nanda

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