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Venkata Sai Rohith Kotagiri

Data Science Engineer · AI/ML & Business Analyst

Mumbai, Maharashtra, India

@rohith_kotagiri

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About

Data science and AI/ML professional with experience in Python, SQL, machine learning, deep learning, and business reporting. Has worked on data analysis, model development, dashboarding, and automation across internships and projects.

Experience

  • Role
    Tata Consultancy Services
    2026 – Present

    Analyzed and transformed structured datasets using Python, SQL, and Pandas to identify data patterns, investigate inconsistencies, and support business reporting. Developed SQL queries and automated reporting workflows, creating Power BI dashboards to track KPIs and communicate business performance insights. Implemented data validation checks and exploratory data analysis to improve data reliability and reporting accuracy, contributing to a 25% reduction in manual verification efforts.

  • AI/ML & Business Analyst Intern
    Webmobi 360
    Feb 2025 – Jul 2025

    Collected and preprocessed eye-movement data and developed a YOLOv8-based eye-tracking model, achieving ~82% detection accuracy for online exam proctoring. Enhanced an online document verification system by implementing OCR-based text extraction, improving extraction accuracy by ~13%. Collaborated with cross-functional teams to translate business requirements into ML solutions, improving overall product reliability and client satisfaction.

  • Data Science Intern
    DevTown
    Sep 2023 – Dec 2023

    Analyzed and processed large datasets using Python, SQL, MySQL, and Pandas to identify patterns, validate data quality, optimize database queries, and support data-driven business decisions. Developed and optimized batch data processing workflows to automate data extraction, transformation, and validation, improving processing efficiency and reducing data inconsistencies across large datasets. Collaborated with cross-functional teams in an Agile environment, using Git, Docker, and Jenkins to support data workflow deployment, automate testing, and maintain reliable, scalable analytics applications.

Education

  • Bachelor of Engineering
    Manipal Institute of Technology
    Data Science · Oct 2021 – Oct 2025
  • Intermediate
    Sri Chaitanya
    Science · Apr 2019 – Apr 2021

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
SQL Python Pandas
6 to 12 months 6 to 12 months Most of a year behind them.
OCR Computer Vision Exploratory Data Analysis
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Java LLMs NumPy Keras PL/SQL TensorFlow scikit-learn Data Cleaning Classification Model Evaluation Transfer Learning Feature Engineering Hyperparameter Tuning Natural Language Processing Convolutional Neural Networks

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
Microsoft Power BI
3 to 6 months 3 to 6 months A few months of practice with it.
Git Docker Jenkins CI
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Linux MySQL GitHub SQLite Microsoft Excel Amazon Web Services AWS

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Telugu Speak · Read · Write
Fluent Fluent Comfortable using it for work.
English Speak · Read · Write
Basic Basic A few words and simple phrases.
Hindi Speak · Read · Write

Projects

  • Lung Cancer Classification
    TensorFlow/Keras, MobileNet, ResNet50V2, EfficientNetB7

    Developed a multi-class lung cancer classifier with a full preprocessing pipeline and a custom architecture integrating Inception modules, FPN, and attention mechanisms.

  • NOVA AI | LLM-Powered Data Analytics
    Python, Pandas, NumPy, SQL, Scikit-learn, TensorFlow/Keras

    Built an AI-powered analytics workflow using machine learning and LLMs to generate insights, summarize data, and support natural-language interaction with analytical results.

  • AWS-Based Web Application Hosting and Deployment
    AWS EC2, AWS CloudWatch, Git, GitHub

    Hosted and monitored a web application on AWS, supporting deployment, access verification, and troubleshooting.

Courses & certifications

  • AWS Cloud Practitioner Essentials · AWS
  • Python for Beginners · Udemy
  • Python for Data Science, AI & Development · Coursera

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