Abhinav Choudhary
AI & Data Science Specialist
I'm Abhinav, a data science postgraduate skilled in Python, SQL/NoSQL, Git/GitHub, and cloud platforms. I develop scalable data and machine learning solutions - from preprocessing to deployment - including churn analysis systems and interactive sales dashboards. My research on hydrochemical variability utilized K-Means, DBSCAN, and GIS to identify contamination hotspots in Alaska. I focus on transforming data into actionable insights while exploring innovative AI and analytics solutions.
Research Work
Analysis of Hydrochemical Variability in Southcentral Alaska
Lead Researcher
- Developed novel clustering combining K-Means (5 clusters) and DBSCAN (2 clusters + noise) to identify glacial meltwater zones and contamination hotspots.
- Engineered GIS mapping via Folium to visualize spatial anomalies and applied Kriging interpolation to predict pH trends, revealing pollution patterns near urban/agricultural areas.
- Automated preprocessing of 10+ hydrochemical parameters with pandas and StandardScaler, resolving missing values and ensuring data integrity.
- Contribution: actionable insights for predictive hydrochemical modeling, enabling better environmental monitoring and sustainable water resource management.
Work Experience
TechnoNexis
RAG and ML Engineer Intern
- Engineered FastAPI-backed RAG systems for mechanical intelligence workflows, mapping natural-language queries to precise engineering requirements.
- Built smart fallback flows for missing parameters such as RPM, load, and service life so users can recover from incomplete inputs instead of hitting dead ends.
- Developed Supabase/PostgreSQL filtering logic for complex product attributes, symbolic ranges, and high-volume technical lookup workflows.
- Architected deterministic delivery promise logic using weather, logistics zones, distance, and historical reliability signals for real-time decision support.
Open Source
Data Engineer
- Built scalable AI-driven data matching solutions, improving data accuracy by 92%.
- Designed and deployed ETL pipelines, automating data processing for efficiency.
- Implemented machine learning models for predictive analytics, optimizing business processes.
- Integrated cloud services (AWS S3, EC2, Lambda) for efficient data storage and processing.
CodeAlpha
Data Scientist Intern
- Collaborated in developing ML models for customer behavior prediction.
- Cleaned and processed large datasets, improving model performance by 25%.
- Contributed to data visualization and reporting tools, enhancing business insights.
Licenses & Certifications
Education
Chandigarh University
Graduated with an M.Sc in Data Science, specializing in machine learning, deep learning, statistics, big data, data mining, business analytics, and data visualization.
Himachal Pradesh University
Earned B.Sc in Physics, developing strong analytical and computational skills.
Tech Stack
Hardware
ASUS TUF GAMING F15
Garnet (Pixel OS)
Cosmicbyte Black Eye Pro
Legion M200
KZ EDX Pro
Software
Arc Browser
VSCode
Symfonium
Anaconda
foobar2000