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Data Science with less than a year in Data Analytics & AI/ML
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Data Scientist and AI Engineer fresher (B.E. CS, CGPA 8.39) skilled across the full ML pipeline - EDA, statistical modeling, Power BI dashboards, deep learning, NLP, and Generative AI. Delivered 3 end-to-end projects: 86% attrition prediction accuracy, 85% real-time stress classification, and a fine-tuned LLM achieving 90%+ personality fidelity. Proficient in Python, scikit-learn, TensorFlow/PyTorch, SQL, and Power BI.
Ponjesly College of Engineering, Anna University
B.E. Computer Science, Honors in Data Science · Computer Science, Data Science
August 1, 2021 – June 30, 2025
IPCS Global, Trivandrum
Diploma in AI & Data Science · AI & Data Science
N/A – June 30, 2025
St. Mary's HSS, Kaliyal
Higher Secondary (12th)
N/A – May 31, 2021
St. Mary's HSS, Kaliyal
Secondary (10th)
N/A – May 31, 2019
JPMorgan Chase & Co.
Excel for Business Virtual Intern
March 1, 2024 – April 1, 2024
India
Accenture North America
Data Analytics Virtual Intern
February 1, 2024 – March 1, 2024
India
Tata
Data Analytics & Visualization Virtual Intern (x2)
January 1, 2024 – April 1, 2024
India
AI Personal Digital Clone
June 24, 2026 – Present
Architected multimodal AI digital twin (DistilGPT-2 + XTTS v2) achieving 90%+ personality fidelity across 500+ test conversations; reduced training parameters 70% via LoRA adapters. Implemented XTTS v2 voice cloning with 95%+ speaker similarity.
Employee Attrition Prediction
June 24, 2026 – Present
Analyzed IBM HR dataset (1,470 records); built Logistic Regression + Random Forest models achieving 86% accuracy, 0.84 F1-score, outperforming baseline by 22%. Built 5-KPI Power BI dashboard; reduced features 35→18 via correlation analysis.
Detection of Stress in IT Employees
June 24, 2026 – Present
Analyzed 500+ employee records to identify 8 stress indicators via EDA; engineered CNN + OpenCV real-time detection system achieving 85% accuracy across 4 severity levels with <100ms latency.
Career Essentials in Data Analysis
Microsoft & LinkedIn
January 1, 2024 – Present
Data Visualization: Empowering Business with Effective Insights
Tata
January 1, 2024 – Present
Data Analytics using Excel
Great Learning Academy
January 1, 2024 – Present
Excel Skills for Business
JPMorgan Chase & Co.
January 1, 2024 – Present
Data Analytics & Visualization
Accenture North America
January 1, 2024 – Present
Generative AI & Prompt Engineering
IBM SkillBuild
January 1, 2024 – Present
GenAI-Powered Data Analytics
Tata
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI Personal Digital Clone, Stress Detection, and Attrition Prediction, shows a broad interest in applying data science to different domains. The numerous virtual internships with reputable companies (JPMorgan Chase, Accenture, Tata) indicate an eagerness to gain industry exposure and align with professional work environments. The pursuit of a Diploma in AI & Data Science alongside a B.E. in Computer Science with Honors in Data Science further emphasizes a strong commitment to the field, suggesting a good cultural fit for a data-driven and innovative organization.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through numerous virtual internships and certifications. Project descriptions indicate an ability to work on complex problems and deliver measurable results (e.g., accuracy scores, latency reduction). The focus on personal projects suggests self-motivation and initiative. However, as a fresher, direct experience in a corporate operational environment is limited, and soft skills like team collaboration and stakeholder communication would need further validation.