Business Analyst 📊 || Commercial Analytics || People and Provider Analytics || Anomaly Detector🕵️♂️ SQL Hacker rank 5 🌟|| Ex - Musigma

Hyderabad, Telangana, India

Bengaluru, Karnataka, India


Bengaluru, Karnataka, India

Gurugram, Haryana, India


Bachelor of Engineering, Electrical, Electronics and Communications Engineering
Srinivas Institute of Technology, Mangalore

Data Analyst & Data Science Training
Masai
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As an accomplished Data Analyst 👨🏻💻 with a proven track record in Healthcare Analytics, Cohort Analysis, Political Analysis, and Customer Behavior, I bring a diverse and dynamic perspective to data-driven decision-making. With 4+ years of hands-on experience, I am adept at leveraging SQL, Python, Advanced Excel, and a variety of BI tools to transform complex datasets into actionable insights that drive strategic business outcomes. Whether uncovering trends 📊🔎in patient journeys, analyzing voter behavior, or understanding customer preferences, I am passionate about extracting meaningful patterns📈 from data to guide informed decision-making. My experience working closely with stakeholders has sharpened my ability to communicate findings effectively, fostering trust and contributing to successful project execution. I thrive in fast-paced environments where innovation and continuous learning are encouraged. I am always seeking new challenges to further hone my skills and deliver impactful insights. If you're looking for a versatile data analyst with a deep understanding of diverse industries and a passion for unlocking value through data, let’s connect! Feel free to reach out to me at 👉 kumarkharvi1998@gmail.com – I’m excited to collaborate and contribute to your success.
Baindūru
Business Analyst at Novartis, Dec 2024 - Present · 1 yr 7 mos, Hyderabad, Telangana, India
Decision Scientist at Mu Sigma Inc., May 2023 - Nov 2024 · 1 yr 7 mos, Bengaluru, Karnataka, India, Client: Fortune 500 Pharmaceutical company ● Designed and implemented synthetic control arms for clinical trials involving hematologic cancers, including CLL/SLL and FL/MZL and contributing to successful FDA protocol approval ● Curated data from diverse vendors across different geographies, implementing advanced data manipulation techniques (transformation, derivation, harmonization, de-duplication) to establish a unified data model (ETL pipelines). ● Developed clinically applicable Lines of Therapy (LoT) to simulate treatment patterns in harmonized data with 3000+ patients from EMR data vendors. ● Utilized advanced data analysis techniques to analyze patient data and derive actionable insights for client decision-making. ● Implemented data anomaly detection methods to identify and address irregularities in datasets, ensuring data quality and accuracy ● Presented findings and recommendations to stakeholders, contributing to the development of effective treatment strategies. ● The synthetic control arm, pivotal for U.S. FDA clinical trial protocol approval, resulted in a substantial impact of estimated 7 to 8 million dollars Client: Fortune 500 Technology company ● Conducted daily tracking and in-depth analysis of Microsoft Teams device engagement and activity across various regions worldwide, ensuring timely and accurate insights into user behavior and device utilization. ● Developed and generated comprehensive weekly reports and interactive dashboards, offering key insights into usage patterns and emerging trends, enabling data-driven decision-making for business stakeholders. ● Leveraged advanced BI tools and data transformation techniques to convert raw data into actionable insights, empowering teams with the information needed to drive strategic initiatives. Collaborated with cross-functional teams to identify opportunities for optimizing device engagement and user experience.
Data Scientist at Mu Sigma Inc., May 2023 - Nov 2024 · 1 yr 7 mos, ▸ Designed and executed ETL pipelines to ingest, clean, harmonize, and de-duplicate data from 5+ vendors across multiple geographies, establishing a unified data model used across analytics workflows. ▸ Developed Lines of Therapy (LoT) logic — analogous to user journey / product lifecycle modeling — to simulate and track behavioral treatment sequences across 3,000+ records from EMR data vendors. ▸ Implemented data anomaly detection methods to proactively flag data quality issues in large datasets, reducing downstream errors and ensuring reporting accuracy. ▸ Performed advanced cohort and longitudinal analysis to extract behavioral patterns and generate actionable recommendations for client decision-making. ▸ Presented data findings and analytical recommendations to senior client stakeholders, contributing to strategy development and business outcomes. ▸ Contributed to FDA protocol approval process by designing statistically sound synthetic control arms — demonstrating ability to work on high-stakes, regulated analytical projects with zero-error tolerance. ▸ ⭐ Received 2 Spot Awards: recognized for SQL expertise, logical reasoning growth, mentoring new joiners, and consistently delivering projects on time to a high standard.
Mentor at Masai, May 2023 - Aug 2023 · 4 mos, Bengaluru, Karnataka, India, ● As a dedicated student mentor, I played a pivotal role in conducting interviews for fellow students, providing valuable insights, and addressing queries in diverse subjects such as SQL, Python, and Excel. ● My commitment to fostering a collaborative learning environment has empowered peers with the knowledge and skills essential for their academic and professional growth.
Data Analyst at Nation with NaMo, Oct 2022 - Mar 2023 · 6 mos, Gurugram, Haryana, India, ● Conducted thorough political risk analysis and research, offering actionable insights to clients for informed decision-making in political strategy. ● Analyzed electoral data using Google Spreadsheets, Excel, and SQL, generating data-driven recommendations to enhance election campaign strategies. ● Created and presented Excel dashboards to visualize and communicate data insights, effectively conveying key findings to stakeholders and improving decision-making processes. ● Utilized Python to analyze survey data, deriving insights on voter behavior and preferences, which contributed to more targeted and effective campaign strategies. ● Provided critical insights and worked directly with the political team during the 2022 Gujarat assembly elections, leading to impactful results and strategic improvements.
Data Analyst at POLITICAL ANALYTICS CONSULTANCY (Contract), Oct 2022 - Mar 2023 · 6 mos, ▸ Analyzed large-scale electoral and survey datasets using SQL, Python, and Excel to identify voter behavior patterns and generate data-driven campaign recommendations. ▸ Built and presented Excel dashboards to visualize key metrics and communicate findings to non-technical stakeholders, directly informing campaign strategy decisions. ▸ Delivered market segmentation and behavioral analysis on survey data — methodology directly transferable to customer segmentation and product analytics use cases.
Bachelor of Engineering, Electrical, Electronics and Communications Engineering, Srinivas Institute of Technology, Mangalore
Data Analyst & Data Science Training, Masai