Data Analyst with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Motivated and detail-oriented professional with a strong foundation in Data Science, Artificial Intelligence, and Machine Learning. Currently working at Tech Mahindra, gaining hands-on experience in data analysis, research, and problem-solving while continuously expanding my technical expertise. Seeking opportunities to apply my analytical, AI, and ML skills to develop innovative solutions, solve complex business challenges, and contribute to organizational growth.
APJ Abdul Kalam Technological University - Kerala
B.TECH · Computer Science
August 1, 2020 – June 30, 2024
Tech Mahindra
Data Analyst
May 1, 2026 – Present
Hyderābād, Telangana, India
AI Variant
Data Scientist Intern
November 1, 2024 – August 31, 2025
Bengaluru, Karnataka, India
Plant Disease Recognition
June 25, 2026 – Present
Developed a CNN-based system to detect plant diseases from leaf images with integrated preprocessing and performance metrics.
Drug Prediction
June 25, 2026 – Present
Designed a sentiment classification system on 161K+ patient reviews using TF-IDF and multiple ML models (Logistic Regression, Naive Bayes, SVM, XGBoost, Random Forest), achieving optimized accuracy.
Stock Management Application
June 25, 2026 – Present
Built an inventory system with real-time monitoring, automated low-stock alerts, and reporting for improved efficiency.
Data Science course
ExcelR
June 30, 2026 – Present
Data Science Internship
Federal Academy for Cyber Education, Kochi
June 30, 2026 – Present
Python IoT technologies
LCC
June 30, 2026 – Present
Participated in Gameathon
Tiltlab
June 30, 2026 – Present
Programming Fundamentals
Duke University (Coursera)
June 30, 2026 – Present
NPTEL certification (C++ programming)
NPTEL
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from plant disease recognition to drug prediction and stock management, indicates a broad interest in applying data science across different domains. The combination of academic background, professional experience, and personal projects suggests a proactive learning attitude. The target role of Data Analyst aligns well with the candidate's current experience and skills, particularly in data extraction, analysis, and quality assurance. The exposure to AI/ML concepts also positions them for growth within data-centric teams.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented and motivated approach, as stated in the personal summary. Experience in corporate research, data validation, and report preparation suggests good operational fit for roles requiring meticulous data handling and documentation. The internship experience indicates an ability to work with advanced technologies and contribute to real-time monitoring and insights.