AI Engineer with 1+ years in AI/Data Analysis and prompt engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Analyst with experience in evaluating AI-generated code and responses. Skilled in Python, SQL, debugging, and prompt engineering, with a focus on improving LLM performance and accuracy. Experienced in improving AI-generated code and responses through prompt engineering and analysis.
Francis Xavier Engineering College
B.E - CSE · Computer Science Engineering
August 1, 2021 – June 30, 2025
Cambridge Matriculation Higher Secondary School
12th · Computer Science
June 1, 2020 – May 31, 2021
Sivanthi Matriculation Higher Secondary School
10th
June 1, 2018 – May 31, 2019
Innodata Inc
AI/LLM Analyst
January 1, 2026 – Present
Noida, Uttar Pradesh, India
Elevate Labs
Data Analyst intern
September 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
Infotact Solutions
Data Analyst intern
July 1, 2025 – August 1, 2025
Bengaluru, Karnataka, India
Zidio Development
Data Analyst intern
January 1, 2025 – April 1, 2025
Bengaluru, Karnataka, India
NoviTech R&D Private Limited
Data Analyst intern
July 1, 2024 – August 1, 2024
Coimbatore, Tamil Nadu, India
Time Series Analysis with Cryptocurrency
June 1, 2026 – Present
Built Bitcoin price forecasting models using LSTM, ARIMA, and Prophet with sentiment analysis integration. Integrated sentiment analysis to assess market trends based on social media data, providing insights into price fluctuation.
Sales Data Analysis and Dashboard
June 1, 2026 – Present
Designed and implemented a dynamic sales dashboard using Power BI to convert raw Superstore retail data into actionable insights. The project involved end-to-end data cleaning in Excel and Power Query, as well as KPI tracking (Sales, Profit, and Orders), and visual analysis by region, category, and time. The final dashboard highlighted performance trends, top-selling products, and areas for strategic improvement.
E-Commerce Return Rate Reduction Analysis
June 1, 2026 – Present
Developed an end-to-end e-commerce return rate analysis using Python, SQL, and Power BI. Cleaned and modelled 10K+ transaction records, built a logistic regression model to predict return probability, and created interactive dashboards to identify high-risk products and customer segments, driving data-informed strategies to reduce overall return rates.
Healthcare Analytics – Diabetes Risk Dashboard
June 1, 2026 – Present
Using Python, SQL Server, and Power BI, an end-to-end healthcare analytics project was created to investigate diabetes risk variables. DAX-driven KPIs and visualizations were used to create an interactive dashboard that allowed patients with and without diabetes to see trends in their blood sugar, body mass index, age, and pregnancy.
Google Data Analytics
June 1, 2026 – Present
RHCE
Red Hat
June 1, 2026 – Present
RHCSA
Red Hat
June 1, 2026 – Present
AWS Cloud Practitioner
AWS
June 1, 2026 – Present
Certification in Work Smarter with Generative AI for Professionals
Unknown
June 1, 2026 – Present
Certification in Google Data Studio
June 1, 2026 – Present
PATENT: Water Purification System using Organic Seeds
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from cryptocurrency forecasting to healthcare analytics and e-commerce, indicates adaptability and a broad interest in applying data science and AI across various domains. The multiple internships and current role as an AI/LLM Analyst suggest a driven individual eager to gain practical experience. The certifications, including a patent, further demonstrate initiative and a commitment to continuous learning, which aligns well with a culture of innovation and growth. The focus on improving LLM performance and accuracy also suggests a detail-oriented and quality-conscious approach.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem solving, Time management, Analytical thinking' as interpersonal skills. The project descriptions demonstrate an ability to work on end-to-end data analysis tasks, suggesting good operational fit for roles requiring structured problem-solving and project execution. The experience as an AI/LLM Analyst involves debugging and improving model performance, which requires strong analytical and problem-solving skills.