About
Highly analytical Data Analyst with over 1 year of experience leveraging SQL, Power BI, and Python to transform complex datasets into actionable strategic insights. Proven ability to deliver data-driven recommendations that resulted in a 15% increase in client sales and significantly improved operational efficiency across diverse organizations. Adept at developing interactive dashboards, building predictive models, and optimizing backend systems to drive business growth and informed decision-making.
Work
Remote
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Summary
Led data analysis projects for a Lisbon-based client, delivering actionable recommendations and developing predictive models to enhance business performance.
Highlights
Analyzed Brazilian sales data and implemented data-driven recommendations that successfully increased client sales by 12% in Q1 2025.
Developed an interactive Power BI dashboard, reducing time to insight from 2 days to real-time, enabling leadership to track KPIs instantly.
Built predictive models using Python and Power BI, significantly improving demand forecasting accuracy by 25% for a key client.
Remote
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Summary
Analyzed Generation Z data to uncover career preferences and learning trends, supporting strategic insights for talent acquisition.
Highlights
Analyzed collected Gen Z data using SQL Joins and Aggregate Functions to extract valuable insights, identifying key career preferences.
Utilized Google Forms to efficiently gather comprehensive data on career goals and learning preferences for Generation Z initiatives.
Created dynamic Excel and Power BI dashboards, integrating Pivot Charts and Slicers to enhance data visualization and filtering across sales, customer relations, and finance domains.
Remote
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Summary
Conducted in-depth data analysis for a call center, enhancing data integrity and identifying critical operational trends.
Highlights
Implemented robust data quality checks and validation procedures, significantly improving overall data integrity.
Investigated call center data using Excel and SQL, accurately identifying a rise in call abandonment during lunch hours to inform operational adjustments.
Conducted comprehensive trend analysis on 8 months' worth of call center records, processing large datasets to derive actionable insights.
Ahmedabad, Gujarat, India
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Summary
Developed and optimized backend APIs and database schemas, enhancing application scalability and data management efficiency.
Highlights
Developed and optimized backend APIs using Node.js and Express.js, significantly improving application scalability and performance.
Designed and implemented robust database schemas and data modeling with MySQL & MongoDB, ensuring efficient data retrieval and storage.
Collaborated with cross-functional teams to translate complex business logic into precise SQL queries and APIs, ensuring accurate data delivery for analytics and reporting.
Enhanced API performance by implementing query optimization, caching systems, and indexing strategies, leading to improved system responsiveness.
Volunteer
NSS
|Volunteer
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Summary
Organized and participated in educational and donation camps, contributing to community development initiatives.
Highlights
Organized and actively participated in educational camps, providing learning support to underprivileged communities.
Contributed to donation camps, facilitating resource distribution and community outreach efforts.
Languages
English
Hindi
Gujarati
Certificates
Skills
Data Analysis & Databases
SQL (Data types, Queries, Aggregate functions, Subqueries, Joins, CTEs, Window functions), Advanced Excel (Countif, Sumif, VLOOKUP, Index, Match, Macros, Pivot Table, Pivot charts), Data Modeling, Data Cleaning, ETL, MySQL, MongoDB.
Business Intelligence & Visualization
Power BI (Data Reporting, DAX, Data Modelling, Data Cleaning, ETL), Tableau, Interactive Dashboards, KPI Tracking.
Programming & Machine Learning
Python (Pandas, NumPy, Matplotlib, Seaborn, TensorFlow), JavaScript, C, Node.js, Express.js, Predictive Modeling.
Web Technologies & Tools
HTML/CSS, Git, GitHub, VS Code, JIRA, Wireframing, RESTful APIs.