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Data Analyst with 1+ years in SQL, Python, and 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
Data Analyst with 1.3 years of experience at Leank Kei Services India Pvt. Ltd., skilled in SQL, Excel, Python, and Power BI for data analysis and reporting. Experienced in data cleaning, exploratory data analysis (EDA), and dashboard creation to deliver actionable business insights. Hands-on exposure to Machine Learning, NLP, and advanced data visualization techniques, with a strong analytical mindset and passion for solving real-world problems using data.
Swami Ramanand Teerth Marathwada University
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
S.R.T.M. University Nanded
Bachelor of Computer Science (BCS)
N/A – Present
Leank kei services india pvt.ltd
Data Analyst
March 1, 2025 – June 1, 2026
India
Sentiment Analysis
March 1, 2025 – June 1, 2026
Analyzed text data using NLP techniques including tokenization, lemmatization, and TF-IDF vectorization. Built and fine-tuned machine learning models for sentiment classification with high accuracy. Automated text preprocessing pipelines and deployed the model to deliver actionable insights, supporting better business decisions and customer satisfaction.
Customer Churn Prediction
March 1, 2025 – June 1, 2026
Performed EDA and feature engineering to identify key drivers of customer churn and improve model performance. Built and optimized machine learning models achieving 93% accuracy, delivering actionable retention insights. Deployed the model for real-time churn prediction, enabling proactive intervention for high-risk customers.
Data Science Certification
ExcelR Solutions (Hyderabad)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical business problems (customer churn, sentiment analysis) which aligns well with a results-driven culture. The pursuit of a Master's degree while gaining professional experience indicates a commitment to continuous learning and growth. The listed technical skills (Python, PowerBI, MySQL, Machine Learning) are relevant and show a breadth of tools commonly used in data analysis. However, the limited professional experience (1.3 years) and lack of diverse project types beyond ML model development might indicate a need for broader exposure to different data analysis domains and business contexts for a senior role.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with cross-functional teams and a passion for solving real-world problems, suggesting a team-oriented and problem-solving mindset. The project descriptions highlight the ability to deliver actionable insights, which is crucial for operational fit in a data analyst role. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.