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Data Analyst with less than a year in Data Cleaning & Predictive Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Data Analyst / Data Scientist fresher with knowledge of Python, SQL, statistics, machine learning, and data visualization tools. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, and predictive modelling through academic and personal projects. Familiar with Power BI, Pandas, NumPy, and Scikit-learn for data analysis and interpretation. Strong analytical and problem-solving skills with a keen interest in working with real-world data to generate meaningful insights. Seeking an opportunity to apply technical skills, gain practical experience, and grow in the field of data analytics and data science.
Suryadatta Institute of Management and Mass Communication, Savitribai Phule Pune University
Master's of Computer Application (MCA)
August 1, 2024 – June 30, 2026
Kisan Veer Mahavidyalay, Wai Shivaji University, Kolhapur
Bachelor's of Computer Application (BCA)
August 1, 2021 – June 30, 2024
Deloitte
Data Analysis Job Simulation
January 1, 2025 – February 1, 2025
India
SALES DASHBOARD ANALYSIS – POWER BI PROJECT
June 1, 2025 – June 1, 2025
Designed an interactive sales dashboard using Power BI. Analyzed sales, profit, and regional performance data. Created KPI reports and visual charts for business insights. Executed data transformation and cleaning for accurate reporting. Improved practical skills in data visualization and dashboard development.
HEART DISEASE PREDICTION – MACHINE LEARNING PROJECT
January 1, 2025 – February 1, 2025
Developed a heart disease prediction model using Python and Scikit-learn. Completed data cleaning, preprocessing, and analysis using Pandas and NumPy. Applied machine learning algorithms for predictive analysis. Built a Streamlit web application for real-time prediction. Acquired practical experience in machine learning and data analytics.
Cultural Fit Analysis
The candidate's academic projects and virtual internship show a strong interest in data analytics and a willingness to gain practical experience. The pursuit of a Master's degree indicates a commitment to continuous learning. The project diversity (ML prediction, sales dashboard) and exposure to different tools (Python, Power BI, Excel) suggest adaptability and a broad interest in data-related challenges. However, the lack of professional experience beyond a virtual internship limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, communication, and team collaboration skills. The academic projects and virtual internship indicate a proactive approach to learning and applying data analysis concepts. The candidate's interest in working with real-world data aligns with operational needs for data-driven decision-making.