Data Science & Data Analytics Trainee with hands-on experience in data cleaning, EDA, web scraping, and interactive dashboard development. Proficient in Python (Pandas, NumPy), SQL, Power BI, Tableau, and Excel for analy…
Data Science & Data Analytics Trainee with hands-on experience in data cleaning, EDA, web scraping, and interactive dashboard development. Proficient in Python (Pandas, NumPy), SQL, Power BI, Tableau, and Excel for analyzing real-world datasets and extracting actionable insights. Trained in Machine Learning, statistical modeling, and predictive analytics, with a focus on building practical, data-driven solutions.
<p>Cleaned and analyzed datasets across 2 projects using Python (Pandas, NumPy, Matplotlib).<br>
Analyzed 23K+ car sales records to identify pricing, brand, and regional sales trends.<br>
Analyzed 3.5K+ coffee transactions to identify peak hours, revenue trends, and payment patterns.<br>
Developing skills in SQL, Machine Learning, and predictive modeling.</p>
<p>Developed a Food Delivery analysis and machine learning project using Python, applying data preprocessing, exploratory analysis, and predictive modeling techniques.<br>
Applied Python, NumPy, and statistical techniques through hands-on training in Machine Learning, Deep Learning, Neural Networks, and Linear Algebra.<br>
Successfully completed 120 hours of training in AI and Machine Learning.</p>
<p>Developed an interactive Healthcare Analytics Dashboard using Power BI to analyze healthcare operations, patient demographics, clinical insights, and financial metrics.<br>
Applied SQL, Excel, and Power BI for data cleaning, transformation, analysis, visualization, and dashboard development through hands-on training.<br>
Successfully completed 120 hours of training and received a certificate with a 100% score.</p>
<p>Solved 500+ algorithmic problems on Codeforces, strengthening algorithmic thinking and problem-solving skills.<br>
Ranked among the top 30% in the national ICPC Qualification Contest.</p>
<p>Managed and maintained business and product data using Zid, Airtable, and Microsoft Excel.<br>
Entered, organized, updated, and validated product listings, inventory data, and business records.<br>
Supported daily administrative and e-commerce operations by maintaining accurate records and updating product information.</p>
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