Raj Baghel
About Candidate
As a Product Analyst, I have collaborated with key product and business stakeholders to solve crucial challenges using data-driven approaches. My expertise lies in translating data into actionable insights that foster product enhancement, operational efficiency, and strategic growth. I have a strong background in Python programming, SQL, Data Visualization (Tableau, Google Data Studio/Looker), ML/Statistical Modeling, and Cloud Computing (AWS, GCP). In my current role, I’ve developed and maintained dashboards and reports to track product performance and user behavior to drive product improvements and growth initiatives. I have driven a 30% boost in user engagement, saved 36 hours/month of manual effort through data-driven decision-making, and implemented an automated data pipeline. I have also contributed to a 20% reduction in customer churn rate, a 15% increase in platform usage, and an 18% increase in average revenue per customer.
Location
Education
Work & Experience
Dashboard Development: Spearheaded the creation of robust dashboards for the "Maitri" projectusing Google Data Studio/Looker, enabling real-time monitoring and evaluation of KPIs related tothe crucial program delivery outcomes like Identification and Enrolment of OOSGs (out-of-schoolgirls), improving overall program efficiency. • Data Analysis & Interpretation: Utilized advanced SQL & Python skills to analyze data, identifytrends, and extract actionable insights, aiding in strategic decision-making processes. • Data Quality Assurance: Conducted regular assessments of data quality by cross-validating field-collected data and analyzing process validations through Spot Checks, ensuring the integrity andaccuracy of information. • Survey Design & Execution: Collaborated with the development team to design and implementsurveys on digital platforms for enhanced responsiveness, streamlining data collection processes,and improving efficiency in gathering crucial information. • Error Analysis & Resolution: Identified partner/district-specific errors and their underlying causesthrough dashboard analysis and collaborative team meetings, implementing corrective actions toenhance overall outcomes. • Data Documentation & Process Enhancement: Maintained a comprehensive data dictionarydocumenting program processes, contributing to organizational efficiency and facilitatingcontinuous improvement initiatives within the program function.
Market Research & Product Development: Identified education gaps through extensive marketresearch and translated findings into product requirements, driving a 30% boost in userengagement and satisfaction. • Data-Driven Decision-Making: Developed Python, SQL, and Tableau/Looker Studio-poweredproduct performance dashboards, saving 36 hours/month of manual effort and empowering real-time data insights for swift decisions. • Data Pipeline Prodigy: Spearheaded the implementation of an automated data pipeline, ensuringreal-time data updates and enhanced accessibility across the organization. • Predictive Analytics for Churn Reduction: Implemented a predictive analytics model to identify at-risk schools, leading to a significant 20% reduction in school churn rate. • Enhancing Student Engagement & Learning: Leveraged user behavior data to provide actionableinsights to the development team, driving a 15% increase in platform usage and 10% improvement instudent quiz scores. • Sales Optimization through Data Analysis: Collaborated with sales, analyzing user engagementpatterns, and identifying upselling/cross-selling opportunities, resulting in a notable 18% increasein average revenue per customer.
Entrepreneurial Pursuit: Initiated and led the conceptualization of an educational eBook startup,focused on enhancing students' learning experiences. • Strategic Planning: Developed a comprehensive business plan, outlining objectives, targetaudience, and marketing strategies. • Team Leadership: Spearheaded a collaborative team effort, demonstrating leadership andorganizational skills. • Skill Enhancement: Utilized the opportunity for continuous learning, enhancing problem-solvingskills, resilience, and strategic thinking.
Data Visualization Prodigy: Empowered product decisions by creating revenue and utilizationdashboards in Tableau, saving 8 hours/week of manual work. • Data Efficiency Booster: Streamlined internal channels data using Excel, SQL, and Python, cuttingIT work tickets by 19% with 40+ actionable recommendations. • Strategic Data Collaborator: Partnered with finance, sales & ops teams, utilized Python clusters toboost renewals by 8% and profitability by 11%. • Analytics & Insights Architect: Mined and analyzed 99% of purchase funnel, churn, retention, andmore, driving data-led marketing strategies and production improvements. • Cloud-First Data Transformer: Led the creation of a high-speed data ingestion system withPython, SQL, and Spark, elevating platform processing by 25%. • Customer Satisfaction Alchemist: Identified platform bottlenecks and optimized navigation,enhancing new customer satisfaction by 30%.
