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ML Engineer with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented professional with a Bachelor of Technology in Computer Science and Engineering. Experienced in developing and deploying machine learning models, performing end-to-end data preprocessing, and creating interactive dashboards. Skilled in Python, Scikit-learn, Pandas, SQL, and data visualization tools, with a focus on solving real-world problems and extracting actionable insights from data.
SASTRA Deemed University
Bachelor of Technology · Computer Science and Engineering
August 1, 2020 – May 1, 2024
TNSDC & CULTUS Education and Technology Pvt. Ltd.
Artificial Intelligence Program (Data Analysis and Machine Learning)
August 1, 2025 – January 1, 2026
India
Asia Cup ODI Bowler Analysis
June 17, 2026 – Present
• Analyzed 200+ ODI match datasets to evaluate bowler performance and consistency. • Computed advanced metrics such as economy rate, strike rate, and dot-ball percentage. • Identified top-performing bowlers using statistical comparisons and trend analysis. • Developed visual reports to highlight performance patterns and support comparative insights.
Employee Analytics Dashboard
June 17, 2026 – Present
• Designed an interactive Employee Analytics Dashboard to monitor workforce KPIs including headcount trends, department distribution, and gender diversity. • Extracted and transformed data using SQL (JOIN, GROUP BY, aggregations) and Power Query. • Built automated Pivot-based reports and visual dashboards to improve HR decision visibility. • Provided insights on employee distribution trends to support workforce planning.
Loan Eligibility Prediction using Random Forest Classifier
June 17, 2026 – Present
• Developed a Loan Eligibility Prediction model to identify high-risk applicants and reduce default risk. • Performed end-to-end data preprocessing including missing value treatment, feature encoding, scaling, and SMOTE for class imbalance handling. • Achieved 81% test accuracy with 89% recall, minimizing false loan approvals. • Conducted feature importance analysis to identify key factors influencing loan approval decisions.
Artificial Intelligence Program
TNSDC & CULTUS Education and Technology Pvt. Ltd.
June 1, 2026 – Present
TCS NQT(IT) – Mar 2026
Unknown
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on data analysis and basic machine learning applications. While demonstrating foundational skills, the diversity of projects and exposure to different team environments or complex business problems is limited. The target role of ML Engineer typically requires a broader understanding of MLOps, deployment, and scalable solutions, which are not evident in the current profile. This suggests a potential gap in cultural fit for a senior ML Engineer role requiring extensive industry experience and diverse problem-solving approaches.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured tasks, perform detailed data analysis, and present findings. The internship experience further supports an operational fit for roles involving practical application of ML techniques. However, there is insufficient data to assess soft skills like leadership, complex problem-solving under pressure, or advanced team collaboration beyond project contributions.