Freelance Data Analytics in Pune

A detail-oriented and analytical data professional with a passion for uncovering insights and driving business growth through data-driven decision making. Proficient in extracting, manipulating, and analyzing large datasets to identify trends, patterns, and correlations. Skilled in creating informative and actionable reports, dashboards, and visualizations to communicate complex data insights to both technical and non-technical stakeholders.

Bachelor of Technology in Electrical Engineering.

Higher Qualification: Master's Degree in Statistics and Computer Science from Pondicherry Central University with an aggregate of 87% Work Experience: Role: Data Analyst Company: Artificial Penetration Software Solutions, Hyderabad Duration: January 2019 – December 2021 Conduct Data Mining, Data Modelling, Statistical Analysis, Business Intelligence gathering, trending, and Forecasting. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment, and process reengineering. Used quantitative data gathered to develop an understanding of customer behaviour, demographics, and lifecycle. Presented data that helped guide decisions of the Organization. Perform qualitative and quantitative analysis to support day-to-day decision making and support reporting and analytics, such as KPIs, Financial reports, and create interactive dashboards for better analysis using Power BI or Tableau Used Machine Learning and Statistical Modelling techniques to develop and evaluate algorithms to improve performance, quality, data management, accuracy and making predictions Project : Title: Magic Straw Restaurant Sales Analysis and Revenue Prediction Role: Data Analyst Technologies: Excel, Power BI, Python, Machine Learning Description: The Basic idea of Magic Straw restaurants analysis is to get a fair idea about the factors affecting the establishment of different types of restaurants at different places in Hyderabad and aggregate rating and Revenue of each restaurant. This dataset contains details (including ingredients), images and reviews of 241 ice cream flavours & COMBO thick shakes across the city. There are a total of 21,674 reviews, with each review containing star ratings and text. Responsibilities / Accomplishments: • Data Mining and Modelling: Collected, cleansed, and provided modelling and analyses of structured and • unstructured data used for major business initiatives. Outcomes: — A 15% reduction in transportation costs, resulting in annual savings. — Improved demand forecasting that reduced backorders to retail partners by 17%. — Completed Revenue Analysis and BI research that helped boost NW region sales by 15%. Dashboards: Created visually impactful reports /dashboards in Power BI for data reporting and data analysis by using pivot tables and VLOOKUP. Extracted, interpreted, and analysed data to identify key metrics and transform raw data into meaningful, actionable information. eCommerce: Designed and built Machine Learning analysis models on large data sets that helped increase online sales (up to 15% per product) and lowered the Orders-Cancellation rate by 23%.