Data Analyst Machine Learning

Abhinav Pollishetti

Oklahoma, USA M.no: 609-***-**** Email: ************@*****.*** LinkedIn

SUMMARY

Data Analyst with 3+ years of expertise in extracting, transforming, and analyzing large datasets, specializing in healthcare and finance. Proficient in SQL, statistical analysis and predictive modeling with SAS, SPSS, and Python libraries (Pandas, NumPy, Scikit-Learn). Skilled in creating interactive dashboards with Tableau and Power BI. Expertise in managing SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB), designing ETL workflows with Talend, Informatica, and Airflow. Experience with Apache Spark, AWS, Alteryx, and Agile methodologies.

SKILLS

Data Management and Databases: SQL NoSQL (MongoDB, Cassandra), ETL Processes Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn), R, SAS Data Visualization: Tableau, Power BI, Excel (Advanced, VBA) Data Warehousing Amazon Redshift, Snowflake, Google BigQuery Statistical Analysis & Machine Learning: Statistical Software (SAS, SPSS), Machine Learning (TensorFlow, Scikit-learn), Data Mining Cloud Platforms: AWS, Azure

Data Processing and ETL Tools: ETL Tools (Talend, Informatica, SSIS), Apache Airflow Version Control: Git/GitHub

Other Technical Skills & Soft Skills: Data Quality Tools (Alation, Talend), Data Warehousing Data Governance, Data Security Practices (Encryption, Masking), Data Privacy Laws (GDPR, HIPAA), Epic, Cerner, Healthcare Data Standards (ICD-10, CPT, HL7), Crystal Reports, SSRS (SQL Server Reporting Services), Clustering, Classification, Regression, A/B Testing, Forecasting & Modelling, Data Cleaning, Data Wrangling, Process Mapping, Solution Oriented, Ad Hoc Analysis, Project Management, Data Presentation, Requirement Gathering, Root Cause Analysis, Data Storytelling, Communication Skills, Critical Thinking, JIRA, Problem-Solving WORK EXPERIENCE

Data Analyst Blue cross blue shield of oklahoma Sep 2024-Present

Analyzed and interpreted complex healthcare data to provide actionable insights for improving patient outcomes and streamlining internal quality processes using SQL, Python (Pandas, NumPy).

Collaborated with cross-functional teams, including quality assurance and regulatory affairs, to design predictive analytics models that monitored product quality signals in real-time, contributing to more data-driven decisions.

Developed advanced machine learning models using TensorFlow and scikit-learn to predict quality issues, enabling proactive risk management and reducing product recalls by 15%.

Assisted in creating automated dashboards in Power BI that monitored key quality indicators (KQIs) and helped track product performance across multiple geographies, leading to a 25% improvement in reporting efficiency.

Partnered with stakeholders to develop innovative modeling techniques and statistical methods that streamlined quality process improvements, enhancing overall product lifecycle management. Data Analyst Capgemini, India Sep 2020 – Jun 2023

Developed and delivered in-depth financial reports, interactive dashboards, and dynamic visualizations utilizing Power BI and Microsoft Excel, leading to a 30% increase in financial reporting and accelerating decision-making processes by 20%.

Leveraged Python libraries such as Pandas, NumPy, and Matplotlib to conduct sophisticated financial data analysis and statistical modeling, enhancing data-driven insights through advanced visualization techniques.

Designed and optimized data warehousing solutions using SQL and Azure services, enabling efficient data retrieval and integration.

Implemented Key Performance Indicator (KPI) analysis frameworks to evaluate financial performance, driving a 35% improvement in project delivery timelines and optimizing overall operational efficiency.

Articulated complex analytical findings to stakeholders through clear and concise written reports and presentations, facilitating actionable insights and fostering strategic decision-making.

Employed Tableau to convert raw datasets into interactive visual formats, significantly enhancing data transparency and enabling real- time analysis and reporting for cross-functional teams.

Conducted advanced data analysis with SQL, incorporating regression modeling and hypothesis testing to generate insights, which improved predictive accuracy by 30%.

Executed A/B testing and performance analysis to identify high-impact marketing strategies, boosting conversion rates and optimizing overall marketing efficiency through data-driven decision-making. EDUCATION

Master of science in Computer Science

–Oklahoma City University, Oklahoma

Bachelor of Technology in Computer Science

–Jawaharlal Nehru Technological University, India

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