Harshit Nanda

AI Researcher

New York, New York, United States6 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led data science teams to generate $2M annually.
Developed machine learning models for personalized job recommendations.
Pioneered sustainable business models generating $10k in revenue.

Stackforce AI infers this person is a Data Science and Machine Learning expert in SaaS and Fintech industries.

Contact

Skills

Core Skills

Organizational DesignTeam LeadershipJavaSoftware DesignMachine LearningFull StackAwsTableauEtlData ScienceTechnical Solution DesignComputer VisionProduct DevelopmentPredictive ModelingData AnalysisOracle ErpRequirements AnalysisBusiness Model InnovationSocial WorkSentiment AnalysisData Visualization

Other Skills

Interpersonal CommunicationAgile MethodologiesProduct OperationsObject-Oriented Programming (OOP)Software TestingDockerKubernetesApache KafkaAmazon Web Services (AWS)Extract, Transform, Load (ETL)API DesignJavaScriptNodeJSHTMLCSS

About

I’ve always been fascinated by how data, when used thoughtfully, can spark better decisions, unlock new ideas, and scale impact. That curiosity led me to study computer science, explore the world of Machine Learning, and eventually pursue a master’s degree to sharpen both my technical and strategic thinking. Today, I’m driven by a simple goal: to build data-driven systems that are not only intelligent, but useful solutions that bridge the gap between insight and action. Whether I’m designing a model, refining a workflow, or exploring a new tool, I’m most energized when solving meaningful problems. Outside of work, I’m often on the tennis court, strumming my guitar, or reading about geopolitics and emerging trends in AI. I’m always learning—and always up for a good challenge.

Experience

6 yrs 11 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr

Current Experience

Mio partners, inc.

Software Engineer

Jan 2025 – May 2025 · 4 mos · New York City Metropolitan Area · On-site

Carnegie mellon university

6 roles

Graduate Teaching Assistant

Oct 2024 – Dec 2024 · 2 mos · Pittsburgh, Pennsylvania, United States · On-site

94700 - Organizational Design and Implementation

Organizational DesignTeam LeadershipInterpersonal CommunicationAgile MethodologiesProduct Operations

Graduate Teaching Assistant

Aug 2024 – Dec 2024 · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

95-712 - Object Oriented Programming in Java

JavaObject-Oriented Programming (OOP)Software DesignSoftware Testing

Graduate Teaching Assistant

Aug 2024 – Dec 2024 · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

94-879 - Fundamentals of Operationalizing AI

DockerKubernetesApache KafkaFull StackMachine Learning

Graduate Teaching Assistant

Mar 2024 – May 2024 · 2 mos · Pittsburgh, Pennsylvania, United States

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

Graduate Teaching Assistant

Mar 2024 – May 2024 · 2 mos · Pittsburgh, Pennsylvania, United States

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

Graduate Research Assistant

Dec 2023 – Mar 2024 · 3 mos · Pittsburgh, Pennsylvania, United States

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

Mio partners, inc.

Software Engineer Intern

May 2024 – Aug 2024 · 3 mos · New York City Metropolitan Area · On-site

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

Full StackAmazon Web Services (AWS)Extract, Transform, Load (ETL)TableauAPI DesignAWS

Carnegie mellon university software and societal systems department

Graduate Teaching Assistant

Jan 2024 – Mar 2024 · 2 mos · Pittsburgh, Pennsylvania, United States · On-site

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

Blackstraw.ai

3 roles

Data Scientist - II

Apr 2022 – Jul 2023 · 1 yr 3 mos · Hybrid

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

Team LeadershipData ScienceStakeholder ManagementAgile MethodologiesTechnical Solution Design

Data Scientist - I

Promoted

Apr 2021 – Mar 2022 · 11 mos · Hybrid

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%

Product DevelopmentComputer VisionClient DeliveryTime Series Analysis

Jr. Data Scientist

Aug 2020 – Mar 2021 · 7 mos · Hybrid

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%

Technical DocumentationData AnalysisPredictive ModelingCustomer Retention

Deloitte india (offices of the us)

Business Technology Analyst Intern

Jun 2019 – Aug 2019 · 2 mos · Hyderabad, Telangana, India · On-site

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

Concentrix india

Data Science and Business Analytics Intern

Jun 2018 – Jul 2018 · 1 mo · Gurgaon, India · On-site

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.

Business Model InnovationSocial WorkCollaborative Problem SolvingStrategy Execution

Professor sameer mathur

Data Analytics using R

Jan 2018 – Feb 2018 · 1 mo · New Delhi, Delhi, India · Remote

~ 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

Topic ModelingPresentation SkillsMicrosoft Power BISentiment AnalysisData Visualization