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Data Analyst with less than a year in data analysis, machine learning, and data visualization
Recent B.E graduate and Aspiring Data Scientist and Data Analyst with hands-on experience in data analysis, machine learning. and data visualization using Python, SQL, and Power BI. Skilled in exploratory data analysis (EDA), statistical analysis, and building predictive models using regression and classification techniques to extract actionable business insights. Passionate about solving real-world problems using data-driven approaches.
Lords Institute Of Engineering Hyd
B.E · Engineering
August 1, 2021 – June 30, 2025
Sri Chandra Junior College, Hyderabad
Inter - MPC
June 1, 2019 – May 31, 2021
Masarath Model High School, Hyderabad
SSC
N/A – May 31, 2019
InfoZ IT Solution
Data Science Intern
January 1, 2026 – June 1, 2026
Hyderābād, Telangana, India
Data Cleaning & Preprocessing of Large-Scale Mobile Sales Dataset
January 1, 2025 – June 1, 2026
Python – pandas, Numpy, EDA. • Cleaned and processed 200000+ mobile sales records with missing values, duplicates, and inconsistent brand names. • Applied data preprocessing techniques such as interpolation, forward-fill, and duplicate removal using Pandas and NumPy. • Standardized brand names and categorical variables to ensure dataset consistency and accuracy. • Performed Exploratory Data Analysis (EDA) to identify sales trends, pricing patterns, brand performance, and outliers. • Delivered a high-quality, analysis-ready dataset for visualization, reporting, and machine learning tasks. • Created an interactive Power BI dashboard to present insights for marketing actions.
Amazon Sales Data Analysis Dashboard – Project zipper
January 1, 2025 – June 1, 2026
Power BI, DAX, Power Query, Excel. • Worked with raw Amazon sales data containing duplicates, missing values and inconsistent formats. • Performed data transformation using Power Query to clean and structure the dataset. • Built a Power BI dashboard to analyze sales trends, product performance and category insights. • Created business KPIs such as Total Revenue, Orders, Profit and Profit Margin using DAX. • Enabled data-driven decision making by visualizing top products, seasonal trends and losses.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills, which aligns with a culture of continuous improvement. The diversity of projects (mobile sales, Amazon sales) and the internship experience show an interest in various data domains. The stated aspiration to be a Data Analyst/Scientist indicates alignment with the target role. However, the experience level is entry-level, which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with real-world, messy datasets and deliver actionable insights, suggesting a problem-solving mindset. The focus on data cleaning, analysis, and visualization aligns well with operational needs for data-driven decision-making. However, the resume does not provide explicit details on teamwork or communication in a professional setting beyond project descriptions.