Business Analyst Data

JASWANTH KILARI

Business Analyst

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

SUMMARY

Highly motivated and results-driven Business Analyst with over 2 years of experience in analyzing complex business problems and providing actionable solutions. Adept at translating business requirements into technical specifications, creating efficient workflows, and improving processes. Skilled in systems analysis, project management, and collaborating with cross-functional teams to design, develop, and implement technology solutions. Proficient in business analysis, requirements gathering, testing, and providing application support in dynamic environments.

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

BI Tools : Tableau, Power BI, Microsoft Office, Qualtrics, BIRT, FireForm

Languages: Python, R, SQL,React.js, Visual Basic, FoxPro

Data Analysis & Reporting : ETL Processes, Data Transformation, Data Wrangling, DAX, Power Query, Data Visualization

Business Analysis: Requirements gathering, process mapping, data modeling, use cases, technical specifications.

Frameworks: NumPy, Pandas, Scikit-Learn, D3.js, SciPy, Matplotlib, Pyspark, ggplot2, TensorFlow, Pytorch.

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

Data Warehousing & DBMS: Snowflake, Redshift, BigQuery, Microsoft access

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

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

Other: Stakeholder communication,test plan development, Defect resolution

WORK EXPERIENCE

Software Trainee / Data Analyst

McKesson, AL Jun 2024 – Current

Migrated on-premises 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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