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Data Analyst with less than a year in Python, SQL & Machine Learning.
Detail-oriented Data Analyst with a strong foundation in data cleaning, exploratory data analysis, statistical analysis, and predictive modeling. Proficient in Python, SQL, and data visualization tools to transform raw data into actionable insights that support data-driven decision-making. Experienced in working with real-world datasets, building end-to-end analytics pipelines, and communicating findings through clear reports and dashboards. Adept at collaborating with cross-functional teams and continuously improving analytical workflows to drive business impact. Currently working as a Management Trainee : Talent Acquisition, supporting IT recruitment operations, stakeholder coordination, and recruitment reporting while contributing to process improvements and business efficiency.
Kristu Jayanti (Deemed to be University)
M.Sc. Data Science · Data Science
N/A – June 30, 2026
Christ Nagar College
B.Sc. Physics & Computer Application · Physics & Computer Application
N/A – Present
Alchemy Techsol Pvt Ltd
Management Trainee – Talent Acquisition
February 1, 2026 – Present
India
Infectious Disease Forecasting (Time Series ML)
June 22, 2026 – Present
• Achieved 18–25% performance improvement using LSTM/GRU over ARIMA/SARIMA. • Reduced forecast error by 20%+ through seasonality modelling and optimized preprocessing.
Environmental Intelligence & Analytics
June 22, 2026 – Present
• Built ensemble models (RF, XGBoost) achieving up to 78% R² for emission prediction. • Clustered 190+ countries into 3 environmental profiles for sustainability insights.
Student Mental Health Analytics Dashboard
June 22, 2026 – Present
• Predicted high-risk students with 82–88% accuracy using Random Forest & Logistic Regression. • Improved MongoDB query performance by 40% and automated risk dashboards.
A Framework for Deployable and Efficient Traffic Prediction
National Student Research Symposium, Kristu Jayanti University
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying data science to diverse fields like infectious disease forecasting, student mental health, and environmental intelligence, indicating a broad intellectual curiosity. Participation in student leadership roles, community involvement, and technical engagement (IEEE Student Member) suggests a proactive and collaborative mindset. The current role in talent acquisition, while a deviation, shows adaptability and experience in a corporate environment. Overall, the candidate appears to have a good cultural fit for a data-driven, collaborative environment, but the current role is not directly aligned with the target role.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams and communication of findings through reports and dashboards, indicating good soft skills for a data analyst role. The current role as a Management Trainee in Talent Acquisition, while not directly technical, involves stakeholder communication and process improvement, which are transferable operational skills. However, the lack of completed psychometric or English tests means there is insufficient data to fully assess logical reasoning, work attitude, stress handling, or team collaboration beyond self-reported project descriptions.