07/03/2026 updated


100 % available
Senior Data Analyst | Data Scientist | SQL | Python | Tableau | Power BI | Excel
Samastipur, India
Only remote
MBA (Information Technology & Marketing)About me
Microsoft Certified Azure Data Scientist and Senior Data Analyst skilled in Power BI, SQL, Python, Tableau, and Excel. I design dashboards, predictive models, and business intelligence solutions to turn complex data into clear insights that drive smarter decisions.
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I am a Microsoft Certified Azure Data Scientist Associate and an experienced Senior Data Analyst with more than 5 years of professional expertise in transforming raw data into meaningful business insights. My academic background in MBA (Information Technology & Marketing) and BBA (Business Administration) enables me to bridge the gap between technical analytics and strategic business decision‑making.
Technical Skills:
- Python Programming: Skilled in data cleaning, preprocessing, statistical analysis, and building predictive models using libraries such as Pandas, NumPy, Scikit‑Learn, and Matplotlib.
- SQL & Microsoft SQL Server: Expertise in query optimization, stored procedures, database design, and automated reporting solutions.
- Power BI: Experienced in creating interactive dashboards, DAX calculations, KPI tracking, and real‑time business intelligence solutions.
- Tableau: Skilled in designing visualizations, storytelling dashboards, and connecting multiple data sources for exploratory analysis.
- Excel Reporting: Strong command over pivot tables, advanced formulas, macros, and automated reporting workflows.
- Machine Learning: Hands‑on experience in regression, classification, clustering, and time‑series forecasting models.
- Data Cleaning & Preprocessing: Ensuring accuracy, consistency, and reliability of datasets before analysis.
- Dashboard Development & KPI Tracking: Building performance monitoring dashboards tailored to business needs.
Professional Experience:
- Delivered business intelligence dashboards for finance, marketing, and e‑commerce clients, helping them reduce manual reporting efforts and make smarter decisions.
- Designed predictive analytics models for sales forecasting, customer segmentation, and risk analysis.
- Automated SQL reporting systems that saved clients hundreds of hours in manual work.
- Supported business teams with data‑driven insights, enabling them to optimize campaigns, reduce costs, and improve ROI.
- Worked on end‑to‑end data projects — from raw data extraction and cleaning to visualization and presentation.
Strengths:
- Clear communication and structured problem‑solving approach.
- Ability to simplify complex datasets into easy‑to‑understand dashboards.
- Strong focus on business outcomes, not just technical outputs.
- Available for both short‑term and long‑term projects (50+ hours/week).
Interests:
I am passionate about data visualization, dashboard design, and financial/technical analysis. I believe every dataset tells a story, and my mission is to help businesses uncover that story to improve performance, reduce costs, and discover new opportunities.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluentHindiNative speaker
Project history
As a Senior Data Analyst at Skill Bud Technologies Pvt. Ltd. (Oct 2022 – May 2026), I was responsible for managing complete analytics workflows from raw data preparation to actionable insights. My core tasks included data cleaning, preprocessing, and SQL query optimization to ensure accuracy and efficiency in reporting. I developed and maintained interactive dashboards in Power BI and Tableau, enabling management teams to track KPIs in real time and make informed decisions.
I collaborated with cross‑functional teams to design KPI frameworks, automate reporting pipelines, and integrate multiple data sources for unified business intelligence. Using Python, Excel, and Azure ML, I performed exploratory analysis, statistical modeling, and predictive forecasting to identify trends, customer behavior patterns, and growth opportunities.
My work reduced manual reporting time significantly, improved KPI visibility, and provided actionable insights that supported strategic planning. I also contributed to machine learning initiatives, building regression and classification models for sales forecasting and risk analysis. By combining technical expertise with business acumen, I helped the company optimize operations, enhance marketing ROI, and strengthen decision‑making processes.