Python Programming
Hari Mahesh Babu Naragani
Data Scientist
Dallas,TX
Summary
Data Scientist with hands-on experience in building predictive models, utilizing machine learning techniques and developing
data-driven solutions to optimize energy distribution and operational efficiency. Proficient in Python, R, SQL, Power BI, and
Tableau, with a strong background in analyzing large datasets and automating reporting processes. Demonstrated success in
creating interactive dashboards, conducting exploratory data analysis, and leveraging big data tools like Hadoop and Spark
to drive real-time insights and decision-making. Experienced in collaborating with cross-functional teams to deliver scalable,
impactful solutions in the energy sector.
Overview
5
5
years of professional experience
Work History
Data Scientist
Citi
08.2024 - Current
- Built predictive analytics models using Python, R, and machine learning techniques (Linear Regression, Random
- Forest, Clustering) to improve demand forecasting and operational efficiency
- Extracted, transformed, and analyzed large datasets using SQL, Pandas, and NumPy, delivering actionable insights to optimize energy distribution and reduce costs
- Developed interactive data visualization dashboards in Power BI and Tableau, enabling real-time monitoring of energy KPIs and improving stakeholder decision-making
- Utilized statistical techniques and advanced data wrangling methods to conduct exploratory data analysis (EDA), identifying trends and patterns in energy consumption
- Collaborated with cross-functional teams to integrate data pipelines and automate reporting processes, streamlining workflows and reducing manual effort by 25%
- Applied big data tools like Hadoop and Spark to process and analyze high-volume energy datasets, enhancing the scalability and performance of analytics tasks.
Junior Data Analyst
Saudi Electricity Company
09.2021 - 08.2022
- Performed advanced data analysis on energy consumption patterns using Python, SQL, and Excel, identifying trends that improved grid efficiency by 10%
- Developed dynamic Power BI and Tableau dashboards to visualize real-time grid performance and key metrics, enhancing stake-holders decision-making
- Forecasted energy demand by building predictive models, leveraging statistical techniques, and optimizing resource allocation to reduce operational costs
- Cleaned, processed, and managed large datasets from smart meters and IoT devices, ensuring data integrity and compliance with industry standards
- Collaborated with cross-functional teams to design data-driven solutions for outage prevention, customer segmentation, and energy-saving initiatives.
Data Analyst Intern
Saudi Electricity Company
07.2020 - 01.2021
- Cleaned and analyzed large datasets using Python and SQL, delivering insights that improved decision-making and optimized operational workflows
- Developed interactive dashboards in Power BI and Tableau, enabling real-time monitoring of key performance indicators and enhancing reporting efficiency
- Conducted exploratory data analysis (EDA) to identify trends, patterns, and outliers, supporting business teams in actionable strategy development
- Collaborated with cross-functional teams to automate data processing tasks using Excel macros and Python scripts, reducing manual effort by 20%.
Data Science Intern
National Instruments (NI) and Cognibot
05.2020 - 06.2020
- Developed software modules using deep learning for image processing and collaborated on machine learning projects for industrial predictive maintenance
- Contributed to AI-driven solutions for optimizing manufacturing processes and implemented IIoT sensors with data analytics for equipment monitoring
- Integrated machine learning models into existing systems for real-time decisions and deployed AI solutions on cloud platforms for scalability.
Education
Master of Science - Advanced Data Analytics, Mathematics and Statistics
University of North Texas
May 2024
Bachelor of Technology - Computer Science and Engineering
RVR&JC College of Engineering
Aug 2021
Skills
- TECHNICAL SKILLS
- Programming Languages: Python R Java SAS
- Data Analysis & Visualization Tools: Power BI, Tableau, Ski-kit, Pandas, NumPy, mat plot, Pytorch, Seaborn
- Cloud: AWS (EC2, S3) & Google Cloud (Big Query, Bigtable, Data proc, Open Refine)
- Data Management: SQL Server, Oracle, NoSQL Databases
- ETL Tools:
- SSIS, data integration, and transformation
- Big Data Technologies: Apache, Spark, Hadoop, Hive, Data Acquisition, Data Modeling, Data Provisioning, Data Quality
- Data Storage, Data Warehousing
- Tools: Visual Studio MS Office R Studio
- Business Operations: Report Development, Business Opportunities, Business Practices, Metrics and Reporting, Storage
- Engineering, Support Development, Project Management
- Security: Ethical Hacking, Information Security
- Data Analytics: Predictive Modeling, Statistical Analysis, Data Integration, Model Performance Tracking
- Soft Skills: Communication, Problem-solving, Critical Thinking, Flexibility, Potential, Prioritization, Teamwork
- Collaboration, Analytical Thinking, Productivity
- Data wrangling
- Data operations
- Database management
- Statistical analysis
- Data-driven decision making
- Predictive modeling
- SQL databases
- Microsoft Azure
- Decision trees
- Bayesian statistics
- Reinforcement learning
- Data exports
- Data governance
- NoSQL databases
- Project management
- Agile methodologies
- TECHNICAL SKILLS
- Data acquisitions
- Linear algebra
- Natural language processing
- Cloud computing
- Analytical skills
- Data utilization
- Large dataset manipulation
- Data screening
- Data science research methods
- Python programming
- Sentiment analysis
- Multitasking
- Adaptability
- Database structures
- Time series analysis
- Problem-solving abilities
- Multitasking Abilities
- Scikit-learn
- Critical thinking
- Adaptability and flexibility
- BI tools expertise
- Data visualization
- Time management abilities
- Deep learning
- Neural networks
- Data analytics
- Decision-making
- Data warehousing
- Data repositories
- R programming
- Reliability
- TECHNICAL SKILLS
- Big data analytics
- Advanced mathematical skills
- Quantitative analysis expertise
- Machine learning
- Amazon redshift
Accomplishments
- AWS Cloud Computing | (APSSDC)
- Building Web Applications with Shiny in R | Data Camp
- Data Science & its Application in STEM | Andhra University
- Data Structures Using Python | R.V.R
- J.C.C.E (Autonomous)
- Financial Intelligence Training | University of North Texas
- Introduction to Tableau | Coursera
- Google Advanced Data Analytics Professional Certification | Coursera
- Google Business Intelligence Professional Certification | Coursera
- Google Data Analytics Professional Certification | Coursera
- Google Project Management Professional Certification | Coursera
- Introduction to Programming Using Java | Satya IT Solution
- Introduction to R and Exploratory Data Analysis in R | Data Camp
- Introduction to Regression in R | Data Camp
- Machine Learning with Caret using R | Data Camp
- Machine Learning with Python | Great Learning
Additional Information
- 1. Credit card company identifying their precise customer for their products Analyzed customer data to help a credit card company identify precise customer segments and improve product targeting. Utilized the data life cycle to uncover patterns and insights. My role involved leading a team through all stages of data analysis, resulting in enhanced customer engagement and more effective business strategies. This project demonstrated my ability to leverage big data for tangible business results.
- 2.Covid_19 Analysis on USA Cities Conducted comprehensive analysis of COVID-19 instances across US cities. Utilized statistical methods and R programming for data analysis and visualization. Identified trends and patterns in virus transmission. Derived insights for public health initiatives.
- 3. Prediction of House Pricing Using Machine Learning with Python Spearheaded an initiative to revolutionize house price prediction using advanced machine learning algorithms. Utilized SVM, RF, and GBM models on the Ames housing dataset. Achieved superior predictive accuracy with RF and GBM models. Developed Python scripts for data preprocessing, feature engineering, and model evaluation.
Timeline
Data Scientist
Citi
08.2024 - Current
Junior Data Analyst
Saudi Electricity Company
09.2021 - 08.2022
Data Analyst Intern
Saudi Electricity Company
07.2020 - 01.2021
Data Science Intern
National Instruments (NI) and Cognibot
05.2020 - 06.2020
Master of Science - Advanced Data Analytics, Mathematics and Statistics
University of North Texas
Bachelor of Technology - Computer Science and Engineering
RVR&JC College of Engineering
Work Preference
Work Type
Full TimeWork Location
RemoteHybridOn-SiteImportant To Me
Personal development programsCareer advancementCompany CultureFlexible work hoursWork-life balanceHealthcare benefitsStock Options / Equity / Profit SharingPaid sick leaveTeam Building / Company RetreatsWork from home optionPaid time off401k match4-day work weekSoftware
CI /CD
JIRA
Django
Power BI
Tableau
SQL Data Bases
AWS Cloud Services
GCP
Machine Learning
Natural Language Processing
Deep Learning
Neural Networks
Snow Flake
Big Data
Data Structures and Algorithms
Data Mining
Data Warehousing
Data Base Management Systems
NO SQL
Languages
English
Full Professional
Spanish
Elementary
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