I love to visualize and analyze data. I am always enthusiastic and passionate about organizations and people who believe in the power of data. Due to this I pursued Economics in my first and second degrees. In my role as a Data Analyst, I drew insights and meanings from the trove of data flowing into our database weekly which helps Executive Management make well-informed data-driven decisions. Previously, I also volunteered for Innovation for Poverty Action (an NGO) as a field research officer. At my leisure time, I Love to play and watch team sports especially soccer. Also, I enjoy Reading and watching international news relating to business and geopolitics as well as listen to news related to finance. Going forward, I want to attach myself to organizations who believe in the opportunities that are associated with data where both my experience and newly acquired skills can help achieve and maximize organizational goals. I invite you to connect with me as I want to enhance my knowledge and skills set across all Industries and also exchange ideas on new opportunities across the Globe!

Tools & Technical Skills:
Statistical Analysis: Descriptive and Inferential Statistics, Regression Modeling, Hypothesis Testing
Languages: SQL (CTEs, Sub Queries, Window Functions i.e. LEAD, LAG, ROW_NUMBER, RANK etc.), Python
Libraries/ Tools: Pandas, Numpy, Matplotlib, Seaborn
Excel: Pivot Tables, Xlookup/ Vlookup, Aggregation Functions (Averageifs/ Sumifs/ Countifs) etc.
Visualization Tools: Tableau, MS Excel, Power BI
ML Libraries/ Techniques: Scikit-Learn, Statsmodels
Cloud: Microsoft Azure
ETL : SSIS, Azure Data Factory
Other Skills: Data Cleaning, Report Writing, , HDEIP Framework (Issue & Value Driver Trees)

Certifications:
Microsoft (DP 900): Certified Microsoft Azure Data Fundamentals
Tableau: Certified Tableau Desktop Specialist
World Quant University: Applied Data Science I: Scientific Computing & Python

Skills:
Data Analysis and Exploration,
Statistical knowledge with Visualizations,
Dashboards and Reports