---
title: "Smit Kohale - Research Data Analyst in Nagpur | Tal"
description: "Meet Smit Kohale, Data Analytics | Machine Learning | Python • SQL • PostgreSQL • Power BI based in Nagpur. AI stack includes antigravity, claude, and kimi. Explore public work links including github and smitportfolio-six.vercel.app."
image: "https://tal.club/meet/smit-kohale/share-image"
---

# Smit Kohale on Tal

## Headline

Data Analytics \| Machine Learning \| Python • SQL • PostgreSQL • Power BI

## About

Computer Science graduate \(2026\) with experience in data analytics and machine learning — Python, SQL, Power BI\. Built a two\-layer fraud\-detection system on 50,000\+ e\-commerce reviews — a fine\-tuned DistilBERT classifier \(87% accuracy\) combined with a reviewer graph that independently catches \~35% of fake reviewers through timing and network patterns alone\. Designed APGuard, a rule\-based compliance system for Accounts Payable — 8 validation rules covering duplicate payments, contract price violations, and three\-way match failures, tested against a synthetic 50,000\-invoice dataset with pytest coverage\. Also worked on satellite\-based urban expansion mapping at MRSAC, using Google Earth Engine to detect land\-use change across 15\+ Maharashtra districts\. Open to Data Analyst, BI Analyst, or Junior Data Scientist roles\.

## Location

Nagpur

## AI stack

antigravity

claude

kimi

ollama

ChatGPT

Qwen

## Work experience

Research Data Analyst at Maharashtra Remote Sensing Application Centre \- MRSAC, Dec 2025 \- Mar 2026 · 4 mos, Nagpur, Processed multi\-temporal satellite imagery across 15\+ Maharashtra districts using Google Earth Engine to map and measure urban expansion over a 5\-year window Built an early warning module flagging encroachment hotspots via change\-detection algorithms on LULC datasets Piped live AQI, thermal anomaly, and UV data into an environmental analytics backend, adding an OpenAI\-powered query layer for plain\-English access

Data Analyst Intern at Dealintra Infotech Pvt\. Ltd\., May 2025 \- Jun 2025 · 2 mos, Nagpur, Built a two\-stage review authenticity system combining a fine\-tuned DistilBERT classifier with graph\-based behavioural analysis to identify suspicious reviews and coordinated manipulation across Amazon review data\. Engineered reviewer interaction graphs using timing, text similarity, and product overlap; Louvain community detection surfaced 132 suspicious clusters, independently identifying \~35% of fake reviewers through behavioural signals\. Identified and corrected a train/test data leak \(>95% overlap\), rebuilt the evaluation pipeline with leak\-safe splits, and added SHAP explanations to improve model transparency\.

## Education

Bachelor of Technology \(B\.Tech\), Computer Science and Engineering, SB Jain Institute of Technology Management and Research, Yerla

## Public links

- github: https://github\.com/smitkohale
- smitportfolio\-six\.vercel\.app: https://smitportfolio\-six\.vercel\.app/

[View the original profile](https://tal.club/meet/smit-kohale)

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