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Data Science with less than a year in AI-driven solutions & predictive modeling.
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Data Science professional with hands-on experience in AI-driven solution development, predictive modeling, and data analytics across industrial and healthcare domains. Currently contributing to the design and development of the company's AI-based commerce platform. Strong foundation in Python, SQL, and Machine Learning, with experience in building scalable data workflows, developing interactive dashboards using Power BI, and integrating legacy systems to drive measurable business impact. Skilled in applying prompt engineering techniques to enhance AI-assisted development and deliver production-ready solutions.
Manipal Institute of Technology
M.Tech · Data Science
August 1, 2022 – June 30, 2024
KL University
B.Tech · Computer Science
August 1, 2018 – June 30, 2022
Vedakrita AI Solutions Private Limited
Graduate Engineer Trainee
February 1, 2026 – Present
Hyderābād, Telangana, India
Vedakrita AI Solutions Private Limited
Intern - Internship
December 1, 2025 – February 1, 2026
Hyderābād, Telangana, India
V-Cube Software Solutions Pvt Ltd
AI & Data Science Trainee
May 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
GrowAI
Data Analyst Trainee
August 1, 2024 – March 1, 2025
India
Sigachi Industries Limited
Intern - Internship
August 1, 2023 – July 1, 2024
Hyderābād, Telangana, India
Vendor Management Dashboard
June 1, 2026 – June 1, 2026
Designed an interactive Power BI dashboard to monitor vendor performance using KPI-based scoring models. Built comparative analytics visualizations enabling procurement teams to evaluate vendor reliability, delivery performance, and cost efficiency. Enabled data-driven vendor selection decisions, contributing to a 20% reduction in procurement cycle time.
Fake News Detection
June 1, 2026 – June 1, 2026
Developed a machine learning pipeline for fake news classification using TF-IDF feature extraction. Implemented and evaluated Logistic Regression and Random Forest models for text classification. Achieved 90% precision across multiple benchmark news datasets through optimized preprocessing and model tuning.
Research Paper Summarizer – Gemini Edition
June 1, 2026 – June 1, 2026
Developed an AI-powered web application to automatically summarize research papers using the Gemini 2.5 Flash LLM. Implemented PDF parsing with pdfplumber to extract structured content and generate summaries including research problem, methodology, key findings, and conclusions. Integrated an intelligent Q&A interface allowing users to ask natural language questions about uploaded research papers. Optimized prompt engineering and secure API integration to improve summarization accuracy and response quality.
LLM-Powered Root Cause Tagging System
June 1, 2026 – June 1, 2026
Built a Streamlit-based application to transform unstructured warranty claim text into structured JSON fields (root cause, symptoms, corrective actions). Designed role-based prompt templates and implemented a JSON validation and repair pipeline for schema consistency. Enabled both single-record processing and bulk CSV/Excel ingestion for large-scale automation. Reduced manual tagging workload while improving classification consistency for quality and service teams.
Python Data Visualization
Coursera
June 1, 2026 – Present
Machine Learning Foundations
Coursera
June 1, 2026 – Present
Excel for Data Analysis
GrowAI
June 1, 2026 – Present
Introduction to Data Analytics
GrowAI
June 1, 2026 – Present
Power BI for Data Analysis
GrowAI
June 1, 2026 – Present
Python: Basic to Advanced Concepts
GrowAI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic NLP tasks to professional Power BI dashboards and AI platform development, indicates a broad interest in data science applications. Their involvement in team collaboration and prompt engineering suggests a willingness to adopt modern development practices and work effectively in a collaborative environment. The continuous learning through certifications also points to a proactive and growth-oriented mindset, aligning well with dynamic tech cultures.
Soft Skills & Operational Fit
The candidate demonstrates good communication and team collaboration skills through project descriptions and listed soft skills. Their adaptability and problem-solving abilities are implied by their diverse project work and trainee experiences. The experience in testing and debugging suggests an operational fit for roles requiring attention to detail and quality assurance.