Data Analyst Machine Learning

SHIVA KARTHIK PINJARLE MANMOHAN

+1-908-***-**** New Jersey, USA ****************@*****.*** Portfolio LinkedIn Github Experienced Data Analyst professional focused on interpreting complex datasets to support business decisions. Skilled in combining data analysis with operations to improve processes, enhance performance, and deliver practical solutions across business areas EXPERIENCE

Junior Data Analyst Innomatics Research Labs, Hyderabad, India Jan 2022 – Aug 2023 Applied K-means clustering and logistic regression to analyze customer behavior patterns and segment high-value customers

Extracted and cleaned large data from relational databases (MySQL) and cloud data warehouses (Snowflake) to prepare for analysis, ensuring data accuracy and reducing analysis time by 20%

Developed predictive churn detection models leveraging feature engineering, PCA, hyperparameter tuning, and regularization techniques, driving 20% retention improvement and reducing false positives by 15%

Built and maintained end-to-end machine learning pipelines on AWS using Docker and MLflow, integrating ER modeling to optimize database performance and ensure data integrity for production model deployment

Automated model deployment with CI/CD pipelines, reducing deployment time by 15%, by using Agile principles

Designed and deployed 5+ interactive Tableau dashboards powered by real-time SQL pipelines, enhancing insights into financial complaints and enabling faster, data-driven resolutions

Applied BERT for sentiment analysis, emotion recognition, and topic modeling to analyze customer feedback that increased engagement by 9% and sales by 13%

Launched a Customer Outreach Program, successfully converting 18% of dissatisfied customers and reducing churn by 12%

Maintained a web analytics solution using Python, Flask, SQL, automating data processes and improving team efficiency

Collaborated closely with cross-functional teams (marketing, product, and engineering) to support business goals

Recognized as "Best Performer of the Month" for delivering timely solutions and consistently meeting performance targets PROJECTS

CampusRank Analytics: Visual Insights for Admissions NJIT

Simplified complex university data effectively to empower students and families in making informed college decisions

Developed 12 visualizations and 4 interactive Tableau dashboards leveraging SQL queries to aggregate data from 500+ universities, analyzing attributes like Admission Quality, Cost and Financial Aid, Retention, and Diversity

Applied data visualization best practices and published dashboards on Tableau Public, streamlining complex datasets and enhancing user engagement

Airline Performance Analysis Leveraging Big Data NJIT

Configured 4-node EC2 cluster on AWS to process 100M+ flight records with MapReduce for airline punctuality analysis

Implemented Oozie for managing cloud-based workflows, streamlining data processing and automating MapReduce jobs

Ranked top three airlines by on-time performance probability using distributed processing and big data analytics Loan Default Risk Prediction Model NJIT

Developed a machine learning model using logistic regression, decision tree, and random forest to predict loan defaulters, achieving 70%+ accuracy and enabling proactive risk management

Conducted exploratory data analysis (EDA) and preprocessed data from 1,000 customers with 17 variables, identifying key risk factors like income and credit score

Engineered real-time loan default risk assessment, improving decision-making for financial institutions, by reducing predicted loan defaults by 10%, contributing to an estimated $1.2M cost savings through data-driven risk mitigation strategies TECHNICAL SKILLS

Data Processing: Data Cleaning, Data Mining, Data Transformation, ETL Pipelines Automation Data Analysis: Statistical Analysis, Forecasting, Predictive Modeling, A/B Testing, Churn Analysis, Cohort Analysis Machine Learning & Lib: Regression (Linear, Logistic), Random Forest, Scikit-learn, Pandas, NumPy, SciPy Programming Languages: Python, SQL, R, NoSQL

Big Data & Cloud Technologies: AWS (S3, EC2), Snowflake, Apache Spark, Hadoop, GCP Data Visualization & BI: Tableau, Power BI, Looker, KPI tracking, Reporting Automation, Google Sheets Tools & Platform: Google Analytics, Power Automate, RStudio, Jupyter Notebook, MS Excel (Pivot tables, VLOOKUP, VBA) Software Engineering Practices: CI/CD Pipelines, Version Control (Git), Agile, Scrum, Kubernetes (K8s), Docker Certificates: Generative AI & LLMs from DeepLearning.AI, Advanced Data Analysis using MS Excel EDUCATION

New Jersey Institute of Technology – MS in Data Science, Newark, NJ, USA Sep 2023 - Dec 2024 Coursework: Machine Learning, Deep Learning, NLP, Data Analytics with R, Image Processing (GPA 3.65/4) BBCIT, Osmania University – Bachelor’s in Computer Science, Hyderabad, TS, INDIA Jun 2018 - Jul 2021 Coursework: Mathematics, Statistics, Java, OOPs, C++, Database Management (GPA 3.8/4)

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