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Data Science with less than a year in Machine Learning & Power BI
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 and Data Science professional with hands-on internship experience in Python, SQL, Power BI, Excel, Machine Learning, Data Visualization, and Predictive Analytics. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, and building machine learning solutions. Experienced in transforming raw data into actionable insights to support business decision-making.
Maulana Azad National Urdu University
B.Tech · Computer Science & Engineering
August 1, 2013 – June 30, 2017
Softpro India
Data Science Intern
December 1, 2025 – May 1, 2026
Lucknow, Uttar Pradesh, India
Power BI Sales Dashboard with Forecasting
June 24, 2026 – Present
Developed an interactive sales dashboard to analyze sales performance and business trends. Created KPI reports for Total Sales, Profit, and Quantity Sold using DAX. Performed data cleaning and transformation using Power Query. Built interactive visualizations, slicers and filters for dynamic reporting. Implemented sales forecasting to predict future sales trends and support business planning.
House Price Prediction System
June 24, 2026 – Present
Developed a Machine Learning based web application to predict house prices using housing dataset features. Built the frontend using HTML, CSS, Bootstrap and backend using Django framework. Implemented ML algorithms for accurate property price prediction. Added prediction history, responsive UI, and developer profile page.
Handwritten Digit Recognition System
June 24, 2026 – Present
Built a deep learning model using TensorFlow/Keras to classify handwritten digits from the MNIST dataset. Implemented preprocessing, normalization, and prediction pipeline with Python and OpenCV. Developed a simple interface for real-time digit prediction.
Interactive Retail Sales Dashboard using Machine Learning
June 24, 2026 – Present
Developed an interactive dashboard to analyze and visualize retail sales data. Applied Machine learning techniques to identify sales trends and business insights. Created dynamic charts, filters, and reports for better decision-making. Used Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. Improved data visualization and forecasting for retail performance analysis.
Data Science with Python Certification
Softpro India
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in practical applications of data science, including business intelligence dashboards and predictive systems. The variety of projects (sales forecasting, house price prediction, digit recognition) indicates a broad curiosity and willingness to explore different domains within data science. The internship and certification from Softpro India suggest a commitment to formal learning and practical application. The target role of 'Data Science' aligns well with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse data science tasks, from data cleaning and EDA to model building and dashboard creation. The internship experience suggests a collaborative approach to data visualization and business intelligence solutions. However, without specific psychometric or English test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration beyond what's implied by project completion.