Passionate and results-driven Data Analyst and final-year B.Tech Data Science student with hands-on experience in transforming raw data into actionable business insights. Proficient in Python, SQL, Excel, Power BI, Table…
Passionate and results-driven Data Analyst and final-year B.Tech Data Science student with hands-on experience in transforming raw data into actionable business insights. Proficient in Python, SQL, Excel, Power BI, Tableau, R Programming, Pandas, NumPy, and Machine Learning, with a strong foundation in data cleaning, data visualization, statistical analysis, dashboard development, and business intelligence. Built 100+ real-world analytics projects, including interactive KPI dashboards, sales performance analysis, predictive machine learning models, and business reporting solutions.
Completed internships with Analytics Career Connect, IBM SkillsBuild, and Deloitte (Forage), where I collaborated on business analytics projects, developed interactive dashboards, analyzed business requirements, and delivered data-driven recommendations to stakeholders. Experienced in writing complex SQL queries, creating Power BI dashboards with DAX, performing exploratory data analysis (EDA), and communicating insights that support strategic decision-making.
A quick learner with strong analytical thinking, problem-solving, communication, and teamwork skills. Passionate about leveraging data to solve business challenges, optimize processes, and support organizational growth. Currently seeking an opportunity as a Data Analyst, Business Analyst, or Business Intelligence Analyst where I can apply my technical expertise and continuously grow while delivering measurable business value.
<p>Built interactive Power BI dashboards using Excel and SQL datasets to monitor KPIs, business performance, and operational trends.<br>
Performed data cleaning, transformation, and analysis using Excel, SQL, and Power BI, improving data quality and reporting accuracy.<br>
Presented analytical insights and dashboard findings through clear visualizations, helping stakeholders make data-driven decisions.</p>
<p>Developed and evaluated machine learning models using Python, Pandas, NumPy, and Scikit-learn on real-world datasets.<br>
Performed data preprocessing, feature engineering, and exploratory data analysis (EDA) to improve model performance.<br>
Collaborated with mentors to present project outcomes and document analytical findings using visualizations and performance metrics.</p>
<p>Analyzed business datasets using Excel and Tableau to identify trends, anomalies, and actionable insights.<br>
Created interactive dashboards and reports to communicate findings for business decision-making.<br>
Applied analytical and problem-solving techniques to a simulated business case, delivering recommendations supported by data.</p>
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