Navneet Sharma

Navneet Sharma

Research Intern at IIT Guwahati | Ex. Business Analyst at Physics Wallah

I build intelligent systems using machine learning, computer vision, nlp & gen-ai. Currently conducting research in multimodal emotion recognition while bringing industry experience from my Business Analyst internship to create data-driven solutions.

2K followers
30+ repositories

ACTIVITY

GitHub contributions over the last year.

Experience

Where I've worked

Mar 2026 — Ongoing

Research Intern — Facial Emotion Recognition

IIT Guwahati

  • Comparative analysis of handcrafted vs. deep-learning feature extraction for FER across JAFFE, CK+, FER2013 and KDEF datasets.
  • Implemented HOG, LBP and SIFT features with SVM classifiers, achieving strong comparative results across datasets.
  • Built hybrid feature-fusion pipelines using pretrained VGG16 and MobileNet to push classification accuracy further.
  • Comparing which part of face is more important and contributing more in facial emotion detection.
Oct 2024 — Mar 2025

Trainee Business Analyst

Physics Wallah

  • Tracked the full inventory lifecycle — inbound/outbound, stock levels, assignment, returns and defects — with accurate ownership at every stage.
  • Maintained the CEO's expenditure and asset-allocation tracker for periodic review and accountability.
  • Standardized tracker structures and added validation checks, cutting manual errors and speeding up stakeholder reporting.

Education

Academic record

YearCredentialInstituteScore
2023 — PresentB.Sc. Hons.IIT Guwahati7.95 CGPA
2023Senior SecondaryHBSE Board84.0%
2020SecondaryHBSE Board94.6%

Skills

Technologies I Work With

Programming & Web

Python Pandas Numpy Model Evaluation Java C++ SQL HTML CSS Flask Streamlit

Data Analytics and Visualisation

MySQL Excel EDA Feature engineering Power BI Matplotlib Seaborn Extract Transform Load(ETl)

Data Science & Maths

Machine learning Deep learning NLP Computer Vision Scikit-Learn TensorFlow OpenCV Classification Regression Statistics Linear Alzebra Signal Processing

Generative-Ai

LLM basics Rag Prompt engineering Fine tuning Vector database Currently learning.......

Developer Tools

Linux Vercel Git GitHub VS Code Jupyter Kaggle Docker basics

Other Interests & Hobbies

Dashboard making AI Curiosity Travelling Repairing Stuff Negotiating & Communicating Farming & Gardening

Projects

Featured Projects

SVM-Based Hybrid Feature Fusion for Emotion Recognition

Svm based facial analysis

Developed a hybrid facial emotion recognition pipeline combining HOG with pretrained VGG16 and MobileNet features. Applied SVM-based feature fusion and evaluated on JAFFE and CK+ using standard metrics.

Python CNN OpenCV TensorFlow Scikit-Learn

Region-Based Facial Analysis for Emotion Recognition

Region based facial analysis

Developed region-based facial emotion recognition using HOG features and SVM on upper and lower facial regions. Evaluated performance across JAFFE, CK+, FER2013, and KDEF using standard classification metrics.

Feature Extraction Classification SVM OpenCV

Content-Based Movie Recommendation System

Movie Recommendation System

Built a content-based movie recommendation system using text vectorization and cosine similarity to recommend Top-5 similar movies. Developed an interactive Streamlit application for movie search and recommendations.

NLP Cosine Similarity Streamlit Text Vectorization

Kalistee — 24-Hour D2C Brand Hackathon Project

Kalistee brand website preview Kalistee product page preview Kalistee chatbot preview

Created a D2C brand from scratch within 24 hours. Developed the brand identity, name, product concept, and website design as a team. Built an e-commerce website for showcasing/selling the products. Integrated an AI chatbot using Chatbase for customer interaction/support.

Team Collaboration D2C Branding AI Chatbot Web Dev E-commerce Product Strategy

Road Accident Analysis Dashboard

Road accident dashboard - overview Road accident dashboard - KPI view

Built an interactive Road Accident Analysis Dashboard in Power BI, analyzing severity, casualties, and accident trends. Used DAX, KPIs, and interactive visualizations to identify key patterns.

Power BI Data Analysis Data visulisation Power Query Excel

E-Commerce Sales Analysis Dashboard

Ecommerce dashboard - sales and profit analysis Ecommerce dashboard - KPI and YoY growth overview

Built an interactive E-commerce Sales Dashboard using PivotTables, PivotCharts, and KPI analysis. Analyzed sales, profit, quantity, profit margin, YoY growth to identify key business trends.

Advanced Excel Pivot Tables KPI Data analysis Data visualisation

Achievements

Things I'm Proud Of

Hackathon Achievement

Hackathon Winner

Won a 24-hour D2C brand-building hackathon with the Kalistee project.

Data analysis hackathon achievement

3rd Runner-up in a data analysis hackathon

Achievement

Achievement Title

Add a short description of your achievement here.

Academic Achievement

Academic Achievement

Topped my school in Class 10 with 94.6%.

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