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Data Analyst with less than a year in Business Intelligence with Python & SQL
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate MCA student with a strong foundation in Python, Data Structures, and SQL, now specializing in Data Analysis and Business Intelligence. Skilled in data cleaning, preprocessing, and visualization using Python (NumPy, Pandas, Matplotlib, Seaborn), SQL, and Excel. Experienced in generating actionable insights, building dashboards with Tableau/Power BI, and presenting data-driven solutions. Seeking opportunities to analyze complex datasets, support decision-making, and contribute to innovative projects in analytics and data science.
Dr.D.Y.Patil Institute of Management and Research,Pimpri
Master of Computer Application
August 1, 2024 – June 30, 2026
MGM College of CS and IT,Nanded
Bachelor of Computer Science · Computer Science
August 1, 2021 – June 30, 2024
Deendayal Junior College,Nanded
Higher Secondary Certificate(HSC)
June 1, 2019 – May 31, 2021
Little Scholars' Public School,Nanded
Secondary School Certificate
June 1, 2018 – May 31, 2019
HR Analytics – Employee Attrition
January 1, 2025 – December 31, 2025
Performed data analysis on HR datasets to study employee attrition trends. Applied SQL queries for data extraction and filtering across departments. Built Power BI dashboards highlighting attrition by department, age group, and experience. Helped HR teams identify factors leading to high attrition and areas of improvement. Conducted predictive analysis using Python to forecast potential employee turnover risks.
Sales Performance Dashboard
January 1, 2025 – December 31, 2025
Designed an interactive Tableau dashboard to track monthly, quarterly, and yearly sales performance. Cleaned and transformed raw sales data using Excel and SQL queries for accuracy. Provided actionable insights into regional sales, product performance, and customer trends. Helped identify top-performing products and underperforming regions for business growth.
Financial Data Analysis
January 1, 2024 – December 31, 2024
Analyzed stock market/financial datasets to study trends, moving averages, and volatility. Cleaned and preprocessed time-series data using Python (Pandas). Created visualizations (Matplotlib, Excel) to present daily, weekly, and monthly stock patterns. Summarized insights to assist in investment and financial decision-making.
View ProjectMovie Recommendation System
January 1, 2024 – December 31, 2024
Developed a recommendation engine using collaborative and content-based filtering. Utilized cosine similarity and matrix factorization for personalized recommendations. Implemented interactive UI with Streamlit to recommend movies to users in real-time. Achieved 90% precision in user preference predictions.
Python, Django, MongoDB
Unknown
June 1, 2026 – Present
Java, Power-Bi, Tableau
Unknown
June 1, 2026 – Present
Front-End Development Certification
NSDC Skill India, Reliance Foundation
June 1, 2026 – Present
Front-End Development:HTML,CSS,JavaScript
Unknown
June 1, 2026 – Present
Data Science Basics
IBM Cognitive Class
January 1, 2024 – Present
Python Full Stack Development
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a good breadth of data analysis applications, from sales performance to HR analytics and financial data. Their involvement in community service and sports indicates a well-rounded individual who values teamwork and social contribution. The diverse skill set and continuous learning align well with a culture that values growth and adaptability. However, the absence of professional experience limits the assessment of their fit within a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and skill development through various certifications and online courses. Participation in competitive programming and community service suggests a driven and collaborative individual. However, the lack of professional work experience makes it difficult to fully assess operational fit and real-world application of soft skills.