Venkata Vinayaka Durga Prasanth Lakamsani

Phone: +1-860-***-**** Email: ad1bdh@r.postjobfree.com LinkedIn GitHub Tableau

PROFESSIONAL SUMMARY

As an accomplished professional skilled in both Data Science and Data Analysis, I bring a unique blend of expertise to the table. With a solid foundation in Business Operations Analysis and a successful track record in demand forecasting, data analysis, and digitization, I have consistently delivered cost savings and production improvements. My strength lies in deciphering intricate datasets to extract meaningful trends and patterns, translating them into actionable insights that fuel business expansion.

EDUCATION

UNIVERSITY OF CONNECTICUT SCHOOL OF BUSINESS Hartford, CT

Master’s in Business Analytics and Project Management, CGPA:3.7/4 Dec 2023

COMPETENCIES

Programing Languages & libraries: Python, SQL, R, TensorFlow, NLTK, SciPy, Keras, Pandas, Numpy, PySpark, Scikit-Learn

Data Science: Machine Learning, Deep Learning, NLP, Data Analysis, Data Visualization, A/B Testing, Hypothesis Testing

Skills: Performance Tracking and Evaluations, Decision Making & Innovation, Jupyter, GitHub, Time Series Forecasting, AWS, My-SQL, MongoDB, D-Beaver, Tableau, PowerBI, GCP, Productionizing Models, Recommendation Engines, Customer Segmentation, Ms Project, Microsoft Excel, PowerPoint, MS Visio, QlikView and Google Suite.

Coursework: Machine Learning, NLP, Deep learning, Design & Analysis of Algorithms, Big Data Analytics, Cloud Computing, Agile Methodologies, Statistics in Business Analytics, Visual Analytics, Predictive Modeling, Data Management & Business Process Modeling, and Business Decision Modeling.

EXPERIENCE

THE ANDHRA SUGARS LTD Tanuku (India), May 2017 – Dec 2021

Business Operations Analyst

•Demand forecasting Python, Tableau, ARIMA Developed forecasting models to predict the future demand in chemicals at each month level. Crafted insightful dashboards to track plant health using Tableau; reduced the inventory storage cost by 4.2%.

•Data Analysis: Created and executed complex, highly optimized SQL queries for data extraction, analysis, and validation across large volumes of plant operations data.

•Digitization: Created an SQL database and developed a Machine Learning model using Python to reduce shutdown testing time of Boiler plant, resulting in saving $0.5Million per test.

•Production Management: Managed and maintained the optimum chemical mixer production and led enhancement projects of chemical mixer for production increase and resource utilization.

PIONEER DESIGN & ENGINEERING PVT LTD Pune (India), Feb 2015 – May 2017

Operations Analyst

Utilized market analysis to identify and monitor various key performance indicators and designed 26 new seating components based on their application. Furthermore, I optimized production costs by visualizing seating performance data and achieved annual savings of $1.2 million.

ACADEMIC PROJECTS

Automobile Loan Defaults Prediction Python Tableau UCONN November 2022

•Developed a predictive model which can predict whether a customer will default the loan based on the variables provided in the dataset and fine-tuned Logistic Regression, Decision Tree, Bootstrap Forest, Naive Bayes, Ensemble models and achieved a total accuracy of 91.2% with Logistic Regression Model.

Cellular Network analysis across Connecticut SQL(MariaDB) Excel

•Data was captured from 'www.data.ct.gov' and a database was created by preparing ERDs, using DDL and DML scripts, establishing proper table linkages, and loading data. Generated reports to answer problem statements: The network with the best coverage, the best price, and the best signal in any required city.

Airbnb listing price forecasting using Python JMP Tableau

•Airbnb listings from Los Angeles, California, United States, were examined to identify the characteristics that affect the price using visualization tools. Recommendations were then made to anticipate price fluctuation based on the variables.

Global Renewable Energy Adoption Analysis Python Tableau

•We visualize renewable energy trends, costs, and growth using Tableau. Our insights empower stakeholders to navigate the transition to sustainable energy sources, fostering global sustainability.

CERTIFICATIONS

•Tableau Desktop Specialist. Data Analyst and Data Engineer by Databricks. Practical Data science specialization (AWS ML pipeline). Data scientist with R Track (Data Camp). IBM - Python 101 For Data Science. BM – SQL and Relational Databases 101. FASTFINDFIRM - Machine Learning and Data Science with Python Training Google – Digital Marketing Atlassian – Jira. pipeline.

VOLUNTEER EXPERIENCE

•Volunteer at Data Science for Social Good, working with non-profit organizations to provide data-driven solutions for social issues.