Krish Tewatia

Faridabad

Summary

Computer Science and Engineering (Data Science) undergraduate with a strong foundation in software development, data analytics, and machine learning. Skilled in Python, SQL, Data Structures & Algorithmss, and database systems with hands-on experience building end-to-end AI and data driven applications. Passionate about leveraging technology and data to solve real-world problems while continuously expanding expertise across software engineering and artificial intelligence

Overview

Certification

Work History

AI Data Analytics Intern

InAmigos Foundation

Remote

06.2026 - 07.2026

Researched and analyzed data from 10+ Indian NGOs across education,healthcare and social impact factors
Performed data collection, trend identification, and report generation to support NGO initiatives
Conducted comparative studies on NGO operations, funding sources, and impact metrics to identify best practices
Developed structured databases and analytical reports to generate actionable insights from publicly available datasets

Education

B.Tech - Computer Science And Engineering( Data Science)

Vellore Institute of Technology

Vellore

07-2027

Skills

Languages: Python, SQL, Java, C, C
AI / ML: Machine Learning, NLP, Feature Engineering, Predictive Modeling
Libraries: Pandas, NumPy, Scikit-learn, Matplotlib
Data Analytics: Python, R programming, SQL, Power BI, Microsoft Excel,Google Sheets
Backend & Database: Nodejs, Expressjs, Supabase, PostgreSQL

Tools: Git, GitHub, Jupyter Notebook, Google Colab, Vercel
Core CS: Data Structures & Algorithms, OOP, DBMS, Operating Systems, Computer Networks
Additional Skills: Familiar with SAP MM (Materials Management) module — procurement workflows, purchase orders, and inventory management

PROJECTS

VerifyHire — AI-Powered Resume Verification Platform

Built a full-stack SaaS platform that uses AI to cross-validate resume skill claims against real evidence including GitHub repositories, project links, and certification URLs — reducing hiring guesswork for HR teams
Built a backend system using Node.js + Express.js to handle authentication, role-based access, and API routing for recruiters and candidates
Used Supabase + PostgreSQL for structured data storage — managing user profiles, verification statuses, and job application records
Designed relational schemas to handle real-world hiring workflows — candidate submissions, document checks, and status tracking across multiple stages
Integrated RESTful APIs to connect frontend actions to backend logic with clean separation of concerns

Stock Market Analysis Dashboard — 5-Stock Financial Analytics Report

Pulled and cleaned historical stock data for 5 companies, handled missing values, outliers, and date normalization using Excel + Power Query
Built an interactive Power BI dashboard with slicers, KPI cards, and time-series visuals to track price trends, volume movement, and % returns
Did comparative analysis across all 5 stocks — identified correlation patterns and volatility windows that weren't obvious in raw data
Designed the report layout to be usable by someone with zero finance background — clarity over complexity

Data Analyst in a Box — No-Code Analytics Platform for Non-Technical Users

Built an end-to-end data tool where users upload a CSV and the system automatically handles data cleaning, EDA, feature engineering, and model selection
Integrated Scikit-learn pipelines under the hood — classification/regression model building triggered by a single button click
Used Matplotlib + Seaborn to auto-generate visualizations — distribution plots, correlation heatmaps, feature importance charts
Outputs a full insights + recommendations summary in plain language — making the tool genuinely usable by non-technical stakeholders