Maheswar Veerlanka

•Boston,MA • 510-***-**** • ad4jdz@r.postjobfree.com • linkedin • github

Summary

Analytics professional with expertise in data analysis, machine learning, and statistical modeling. Skilled in leveraging data-driven insights for strategic decision-making and process optimization. Proficient in technical tools and programming languages with a focus on developing innovative solutions.

Education

Northeastern University, Boston, MA July 2023 - July 2025

Master of Professional Studies in Analytics GPA: 3.82

Relevant coursework: MySQL, R Programming, Python, Statistical Analysis, Data Mining and Machine Learning

D.M.S.S.V.H College of Engineering, Machilipatnam, India June 2018 - July 2022

Bachelor of Technology in Mechanical Engineering GPA: 8.1

Relevant coursework: C, Python, Operations Research, CNC Programming, and Data Structures

Technical Skills

Programming Languages: Python, R, SQL, Java

Data Analysis & Machine Learning: Tableau, Power BI, Excel, TensorFlow, Keras, Looker Statistical Analysis: Regression Analysis, Hypothesis Testing, A/B Testing, ANOVA Database & Big Data Technologies: MySQL, Hadoop, Spark, MongoDB, ETL Tools

Software and Tools: Git, SAP, SAS, MS Office (Excel, PowerPoint, Access, Word, Visio)

Professional Experience

KL Infitech Services Pvt Ltd, Chennai, India

System Administrator / Data Analyst Aug 2022 - Mar 2023

•Spearheaded IT infrastructure optimization, achieving 99.9% uptime, and enhanced data analytics efficiency by 20% through streamlined data access and security protocols.

•Drove a 15% increase in data-driven decision-making by integrating advanced analytics tools and leading the development of ETL processes for data consolidation and cleaning.

•Collaborated with cross-functional teams to develop custom dashboards and reports in Tableau and Power BI, providing actionable insights and supporting strategic business decisions.

Academic Projects

Comprehensive Analysis of Banking Loan Data and Predictive Model Evaluation Jan 2024 - Mar 2024

•Led analysis and predictive modeling, achieving up to 78.58% accuracy in loan status prediction.

•Enhanced model performance using SMOTE and GridSearchCV for optimization.

Decoding NYC’s Arrest Dynamics: A Data-Driven Approach Oct 2023 - Dec 2023

•Utilized Tableau to analyze over 100,000 NYPD arrest records, identifying key crime trends and law enforcement disparities for data-driven policy making.

•Quantified gender-specific crime trends and robbery hotspots, contributing actionable insights for equitable policing strategies in urban safety and justice.

Predictive Modeling for Zomato Restaurant Ratings and Costs July 2023 - Aug 2023

•Developed machine learning models using Python to predict ratings and costs for 10,000+ restaurants on Zomato’s dataset, achiev- ing 85% accuracy.

•Conducted comprehensive data analysis to uncover patterns between 20+ restaurant features and ratings, applying techniques such as Decision Tree Regressor, Logistic Regression, and Random Forest Classifier.

HIV Epidemic in South America: Database Management & Socio-Economic Insights July 2023 - Aug 2023

•Analyzed and integrated 10 years of HIV data (2008-2017) across 12 countries into MySQL, correlating public health data with socio-economic variables for policy making.

•Provided crucial insights into the relationship between HIV prevalence, mortality, and socio-economic factors, aiding in public health strategy development.

Certifications & Publications

•Machine Learning and Deep Learning in Python & R

•Build a Board Game Predictor using Machine Learning

•Azure Administration Essential Training (LinkedIn Learning)

•Published a technical paper titled ’Washing Machine Analysis’ in IJRASET44922.

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