PRIYANSHU

KUMAR

WHOAMI?

Hey there! I'm Priyanshu, a data enthusiast fascinated by the stories hidden in numbers. I believe we're swimming in data but often missing the meaningful connections. That's where I come in – turning complex information into "aha!" moments that actually matter.

My journey has taken me from traditional analytics to the exciting world of generative AI, where I'm currently exploring how machine learning can solve real human problems. There's something magical about teaching machines to understand us better, isn't there?

What drives me? Curiosity. I can't help but ask "how?" and "why?" until I get to the heart of things. This mindset has helped me adapt across different industries and collaborate with all kinds of brilliant minds.

When I'm not geeking out over data patterns or fine-tuning AI models, you'll find me brainstorming with others – because the best insights often come from unexpected conversations.

Want to chat about data, AI, or how they can transform your ideas? Let's connect!

WHATCANIDO

Data + Analytics

I turn chaos into clarity.

From messy datasets to meaningful dashboards, I build ETL pipelines that matter and surface insights that move the needle. I use SQL, Python, Power BI, and AWS to make decisions easier and data trustworthy.

GenAI Explorer

I don't just study GenAI—I build with it.

From tuning LLMs to wiring up vector databases, I've worked on GenAI projects both academically and hands-on. I keep building, testing, and iterating through each wave of innovation.

Creative Systems Thinker

I build systems that lift people.

I thrive on open communication, diverse perspectives, and structured thinking. Whether I'm breaking things to understand them or simplifying complexity, I care about clarity, efficiency, and people feeling heard.

Vibe Builder

I build with flow, fun, and fire.

Whether crafting MVPs or generating content with AI, I vibe with modern tools. I use the latest technologies to fine-tune ideas and keep exploring what's next—with speed, soul, and curiosity.

HEALTHCARE PROVIDER FRAUD DETECTION

An advanced machine learning system that helps detect fraudulent healthcare prov...

AIMACHINE LEARNINGDATA SCIENCE+27 more

FROM BLANK CANVAS TO DIGITAL MASTERPIECE

The story of vibe coding, AI collaboration, and why the future of development is...

AINEXT.JSVERCEL+7 more

AI DASHBOARD

Interactive Tableau dashboard exploring AI's impact on industries, employment, a...

TABLEAUDATA VISUALIZATIONINTERACTIVE DASHBOARD

BITBOT

AI-Powered Cryptocurrency Guide. BitBot is a chatbot designed to help users unde...

DIFYLLM (GEMINI, OPENAI)RAG+2 more

HEALTHCARE SALES DASHBOARD

Interactive Excel dashboard analyzing healthcare sales performance against yearl...

EXCELDATA ANALYSISINTERACTIVE DASHBOARD+1 more

STOCK PORTFOLIO OPTIMIZATION

Engineered a data-driven stock portfolio optimization framework using Python, Mo...

PYTHONMPT OPTIMIZATIONMONTE CARLO SIMULATION+6 more

FORECASTING BLOOD GLUCOSE LEVEL

Time series analysis project focused on forecasting blood glucose levels using A...

SAS STUDIOTIME SERIES ANALYSISARIMA+1 more

EXPERIENCE

Gen AI Engineer

Aug 2024 - Dec 2024
Ananda

Built a Vicuna-based RAG system that improved clarity by 20% and reduced latency by 15%.

Impact:
20% clarity · ↓ 15% latency
Led a 3-member ML pod; served as finance liaison.

Key Achievements

  • Constructed Vicuna-based RAG pipelines and integrated ChromaDB for vector search, cutting retrieval time by 15%
  • Enhanced document embedding to raise answer clarity by 20%
  • Built an evaluation harness with BERT and ROUGE to monitor semantic relevance
  • Led data-driven team analysis on crypto-strategy datasets, surfacing insights for risk mitigation

Tech Stack

PythonVicuna-7BLangChainChromaDBBERTRAGDocker

Data Analyst

Jun 2022 - Jul 2023
REINO PREFAB PRIVATE LTD.

Revamped the company's SQL data-collection system, doubling data accuracy (↑ 100%) and cutting weekly preprocessing time by 10 hours.

Impact:
100% accuracy · ↓ 15% entry errors · –10 h/week preprocessing
Conducted exec-level insight briefings; aligned ops & marketing on data-driven decisions.

Key Achievements

  • Revamped SQL pipelines and validation rules, boosting data accuracy by 100%
  • Applied R statistical techniques to optimise operations and guide strategic decisions
  • Built Power BI dashboards that surfaced KPIs for marketing & leadership teams
  • Refined data-collection protocols, lowering entry errors 15% and saving 10 h/week in preprocessing

Tech Stack

SQLRPower BIExcelETL / Data Validation

Data Analyst Intern

Aug 2021 - Nov 2021
Inator

Built a Python player-ranking algorithm that boosted model precision by 70% and a Flask web interface that increased user engagement by 25%.

Impact:
Precision +70% · Engagement +25% · Data errors –60%

Key Achievements

  • Implemented Python-based player-ranking algorithm, raising precision 70%
  • Developed Flask interface with K-means clustering, lifting engagement 25%
  • Streamlined SQL processes, cutting data errors 60% and improving downstream reliability

Tech Stack

PythonFlaskSQLPandasscikit-learnK-means

EDUCATION

University of Connecticut logo

University of Connecticut

Hartford, CT
August 2023 - May 2025

M.S in Business Analytics and Project Management

GPA: 3.76/4.0

Data Mining and Business Intelligence
Predictive Modeling
Project Risk and Cost Management
Advanced Business Analytics
Statistics Business Analytics
Business Decision Modeling
Data Science using Python
Big Data Analytics with Cloud
Generative AI in Business
Maharashtra Institute of Technology logo

Maharashtra Institute of Technology

Pune, India
August 2018 - May 2022

Bachelor's in Electrical Engineering

GPA: 3.29/4.0

Data Analytics with Python
Machine Learning
Project Management
Optimization Techniques
Maths for Artificial Intelligence

CERTIFICATIONS

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AWS Certification

Amazon Web Services
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Jira Certification badge

Jira Certification

Atlassian
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Get Started with Databricks for Generative AI

Databricks Academy
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Get in Touch

I'm always open to connecting! Reach out via: