Kondlapudi Dharani

Data Analyst @ SuperLogix, Inc.

About

Lifelong learner in Data Science & AI with 6 years of experience as a Big Data Developer and Data Analyst. I’m passionate about building models that solve real-world problems and continuously exploring emerging technologies. I specialize in working with enterprise-scale data applications and have a strong foundation in SQL, Python, and Tableau. I’m skilled at uncovering hidden patterns using statistical methods and machine learning, enabling businesses to make data-driven decisions. My expertise in high-dimensional data analysis and end-to-end data pipelines allows me to transform complex datasets into meaningful, actionable insights. My ambition is to leverage my analytical acumen and machine learning expertise to drive success within the burgeoning finance and healthcare sector. I am a advocate for innovation and continuous learning, eager to connect with like-minded professionals and organizations dedicated to harnessing cutting-edge analytics and transformative business intelligence solutions.

Country

City

United States

Industry

Computer Software

Skill

Statistical Analysis & Hypothesis Testing, Python (Pandas) & SQL for Data Cleaning, Adverse Drug Reaction (ADR) Analysis, Data Visualization (Tableau, Power BI, Matplotlib), Clinical Data Interpretation & Collaboration, Dashboard/report automation, Drug safety metrics tracking, EDA on treatment response by subgroup, Real-world evidence generation, PySpark (ETL & Data Transformation), Google BigQuery (Cloud SQL Analytics), Apache Kafka & Spark Streaming, Tableau (Data Visualization & KPI Dashboards), Cohort Analysis & Healthcare KPI Tracking, Agile Project Management, Excel for KPI and ad-hoc reporting, Cross-functional collaboration (with clinical teams and data scientists), HIPAA-compliant data handling, Amazon Elastic MapReduce (EMR), AWS Glue (Serverless ETL)

Experience

Data Analyst

SuperLogix, Inc.

2024-1 - Present · 2 yrs 9 mos

United States

Big Data Developer/ Data Analyst

Cognizant

2019-11 - 2023-12 · 4 yrs 2 mos

Chennai, Tamil Nadu, India

• Designed and developed scalable big data pipelines using Hadoop, Apache Spark, and Kafka to support real-time and batch processing for healthcare and pharmaceutical clients. • Migrated large datasets and workloads from on-premise HDFS to Amazon S3, setting up EMR clusters and rebuilding ETL pipelines using AWS Glue and Spark. • Worked on clinical and genomic data integration, performing data cleansing, transformation, and aggregation using PySpark and SQL. • Created interactive dashboards in Tableau to track patient outcomes, treatment adherence, and KPIs for marketing and operational teams. • Conducted cohort analysis and ADR (Adverse Drug Reaction) analytics to support clinical trial decisions and improve drug safety monitoring. • Used BigQuery and Oracle for running complex SQL queries across healthcare datasets, optimizing performance and ensuring compliance. • Automated batch jobs using Oozie, Autosys, and JIL scripting, and monitored execution through Cloudera Manager and Log4j integration. • Recognized with an internal “Best Contributor” award for playing a key role in the successful completion of an EMR migration project. • Worked in Agile sprints and collaborated with cross-functional teams including clinical researchers, product owners, and cloud engineers. Key Tools: Apache Spark, Kafka, Hadoop HDFS, PySpark, BigQuery, Oracle SQL, Tableau, AWS EMR, Glue, Oozie, Autosys, Cloudera, Python