Data Analyst Power Bi

JASWANTH KILARI

Data Analyst

AL 205-***-**** **************@*****.*** LinkedIn Github

SUMMARY

Data Analyst with over 2 years of experience analyzing large datasets, building scalable ETL processes, and generating actionable insights to drive data-informed decision-making. Proficient in SQL, Python, and data visualization tools like Tableau and Power BI. Experienced with cloud platforms (AWS, Azure) and big data technologies (Hadoop, Spark), specializing in processing millions of records daily and improving data governance. Proven ability to collaborate cross-functionally to automate data workflows and support business-critical decisions. Seeking opportunities to leverage expertise in analytics, data engineering, and visualization to support strategic initiatives.

EDUCATION

Master of Science in Data Science

University of Alabama Birmingham, Birmingham, AL Aug 2022 - Apr 2024 GPA: 3.8/4.0

Bachelor of Engineering in Computer Science

Visvesvaraya Technological University, Bangalore, India Aug 2018 - Jul 2022 GPA: 8.9/10

TECHNICAL SKILLS

Languages: Python, R, SQL

Data Processing: NumPy, Pandas, Matplotlib, SciPy, PySpark, ggplot2

Cloud Technologies: Azure (Data Factory, Databricks, Blob Storage), AWS (S3, Glue, Lambda, RDS, Redshift, EC2, IAM)

Data Warehousing: Snowflake, Redshift, BigQuery

Big Data & Data Engineering: ETL Pipelines, DataOps, Hadoop, Spark, Data Lake Storage, Data Governance

Visualization: Tableau, Power BI, Looker, Microsoft Excel

CI/CD & DevOps: Jenkins, GitLab CI/CD, Travis CI

Other: Data Wrangling, Data Modeling, Data Mining, HIPAA compliance, Agile Methodology WORK EXPERIENCE

Software Trainee / Data Analyst

McKesson, AL Jun 2024 – Current

Migrated on-premise data to Azure Data Lake, orchestrating ETL processes via Azure Data Factory, reducing processing time by 50%.

Developed interactive Power BI dashboards, automating reporting processes, saving over 200 hours annually.

Cleaned and wrangled datasets exceeding 10 million records using Pandas, reducing customer churn by 15% through pattern recognition.

Improved marketing forecasts using predictive models in Databricks, increasing campaign efficiency by 20%.

Automated CI/CD pipelines using Jenkins, streamlining deployment processes and improving efficiency in data handling. Data Analyst

Adani, India Dec 2020 – Jul 2022

Automated ETL tasks with Python and SQL, cutting processing time by 25% for healthcare data.

Enhanced data reliability by 20% through data cleaning with Pandas for medical records and insurance claims.

Conducted statistical analysis using SciPy, uncovering trends in clinical trials and pharmaceutical sales.

Optimized SQL queries, reducing retrieval time by 30% and improving system performance in healthcare analytics.

Integrated AWS EC2 and S3 for secure, scalable data storage, supporting large-scale clinical data analysis and ensuring compliance with HIPAA.

PROJECTS

Analyzing and Predicting IPL Outcomes

Developed predictive models in Python using statistical methods to forecast outcomes, improving prediction accuracy by 15%. Uber Pickups Analysis

Analyzed Uber pickup data using Python and Tableau to optimize driver allocation, reducing average wait times by 20%. Wine Quality Detection

Built a machine learning model in Python to predict wine quality, achieving 85% classification accuracy using Scikit-learn. CERTIFICATIONS

Industrial Skill Development Training Program in Data Science (Tequed Labs)

Machine Learning: Basics to Advanced (Udemy)

Learn to Code in Python 3: Beginner to Advanced (Udemy)

Cyber Security from The University of Alabama at Birmingham. PUBLICATION

• Analyzing and Predicting Outcomes of IPL Cricket Data: International Research Journal of Engineering and Technology (IRJET) Link to publication

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