Services

Priority DM . 2 days reply
29
Popular
Video meeting . 30 mins
199
Video meeting . 30 mins
199
Popular
Video meeting . 60 mins
550
Video meeting . 15 mins
99
Video meeting . 30 mins
199
Video meeting . 30 mins
549

About me

Data analyst with 3 years of experience in Grocery & Retail, E-commerce and Finance sectors. Demonstrates excellence in utilizing SQL, Power BI, MS Excel to proficiently analyze intricate datasets, resulting in the development of data-driven solutions to address complex business challenges. Expertise in crafting visually appealing and insightful dashboards that have substantially orchestrated more informed decision-making processes. FUNCTIONAL AREAS • Business Intelligence • Data Visualization • Exploratory Data Analysis [EDA] • Data Cleaning and Modeling TECHNICAL SKILLS • SQL – Tables, Columns, Relationships, Queries, Sub-queries, Views, Joins, CTE, and Business Intelligence • Power BI – Extract Transform & Load [ETL], Data Modeling, DAX, Publishing, Reports, Dashboards, and Row Level Security [RLS] • Advance Excel – Pivot Tables, Charts, VLOOKUP, XLOOKUP, Power Query, and Power Pivot WORK EXPERIENCE Indium, Bengaluru • Data Analyst 07/2024 – 12/2024 o ‬‭ Performed in-depth analysis on basket composition by segmenting customer orders into categories to identify purchasing‬ ‭ patterns and optimize meal combinations across various user demographics.‬ o ‬‭ ‬Led the collection and validation of crowdsourced data, ensuring the accuracy and reliability of user-submitted information related‬ ‭ to grocery and retail products, including availability, prices, and inventory status, by applying data cleaning techniques and‬ ‭ cross-referencing with internal data sources.‬ o ‬‭ ‬Designed, built, and continuously improved an interactive brand performance dashboard to track key metrics such as brand‬ ‭ awareness, engagement, customer sentiment, and sales performance.‬ Mphasis, Bengaluru • Data Analyst 12/2021 – 07/2024 o Designed dynamic dashboards with different filters and navigation buttons to analyze customer behavior distinguishing customers based on key factors like good and bad loans, leading to 21% reduction in customer churning. o Orchestrated a comprehensive analysis of bank loan data and key metrics, resulting in the creation of targeted marketing campaign dashboards that drove a remarkable 17% business expansion. o Formulated and maintained stored procedures, streamlining data manipulation for other business departments, and ultimately reducing time spent on manual data processing by 50%. o Presented actionable insights to stakeholders, enabling strategic business decisions that contributed to a notable 15% rise in revenue.