EDUCATION

Nandini Kongani

ad4ebu@r.postjobfree.com 475-***-**** linkedin.com/in/nandini-kongani-3294601b2 Stevens Institute Of Technology, Hoboken, NJ May 2025 Master of Science in Computer Science

Institute Of Aeronautical Engineering, Hyderabad, India May 2023 Bachelor of Engineering in Computer Science

TECHNICAL SKILLS

Programming: Python, SQL

Python Packages: Pandas, NumPy, SciPy, PySpark, Matplotlib, Seaborn, StatsModels

ML/DL packages Scikit-learn, TensorFlow, Keras, PyTorch Statistical and Analytical Tools: MS Power BI, Tableau, MS Excel,SAS/DI Studio SQL Databases MySQL, NoSQL

Data Engineering Tools: Talend

Cloud & Big Data Tools: AWS – Redshift, S3

WORK EXPERIENCE

Tuzen Tech Solutions Data Analyst Hyderabad, India March 2023 - Aug 2023

• Decreased processing time by 40% by tuning SQL statements for maximum efficiency and performance, created and maintained PL/SQL packages, modified complex database triggers

• Identified customer needs by performing data extraction and built complex SQL reports.

• Developed story-telling dashboards in Tableau Desktop and published them on to Tableau Server which allowed end users to fetch information using quick filters

• Created Indexes for faster retrieval of customer information and enhance database performance by 35%

• Designed SSIS Packages to extract data from flat files, Excel, XML files into centralized database

• Collaborated with ETL developers to source data into data warehouse by providing the required documentation Great Learning Machine Learning Researcher Hyderabad, India May 2022 - Feb 2023

• I actively lead initiatives to collect and scrutinize vast internal and external datasets, contributing to a 25% improvement in predictive analytics accuracy.

• My research, deeply rooted in areas like GenAI, Natural Language Processing, and ontologies

• I have honed my data science skills, proficiently optimizing machine learning models to enhance predictive accuracy by 30%

• My problem-solving acumen was pivotal in identifying and mitigating data anomalies, leading to a 15% reduction in modeling errors.

TedX-IARE Marketing Strategist Hyderabad, India May 2022 - Feb 2023

• Leveraged data analytics to boost TedX's social media engagement by a remarkable 40%, captivating a larger audience and keeping them actively involved.

• Utilized data insights to craft highly targeted ad campaigns, resulting in a 50% surge in online interactions

• I implemented targeted ad campaigns based on demographic and behavioral data analysis, leading to a 50% surge in online interactions.

• Employed data analytics to enhance the conversion rate, resulting in a 20% increase in event attendance, translating online engagement into real-world participation

IARE Project Assistant Hyderabad, India May 2021 - May2022

• Spearheaded a pivotal research project focused on analyzing over 100 distinct blood bio-markers to accurately predict the Post-Mortem Interval (PMI)

• Utilized advanced statistical modeling techniques in Python to interpret complex datasets, identifying key patterns and correlations that influence the Post-Mortem-interval(PMI)

• Successfully identified and validated 10 key bio-markers with the highest predictive power for PMI estimation.

• Conducted exploratory data analysis (EDA) to uncover hidden insights and trends

• Worked closely with a diverse team of researchers, statisticians, and faculty advisors, contributing to a collaborative and interdisciplinary approach

RESEARCH PROJECTS

Data Integration for Retail Data Warehouse (Talend, Tableau, PowerBI) Dec 2023

• Designed, Integrated and centralized starred schema data warehouse by moving 70 GB of retail data using Talend

• Implemented Dimensional Data Model, slowly changing dimensions & performance tuning on a dataset of over 48M rows

• Built interactive dashboards to convey stories of sales and customer segmentation using Power BI and Tableau AI Diagnostic Support For Cardiovascular conditions(Python, Pandas, Numpy, Matplotlib, Seaborn) Dec 2023

• Processed and scrutinized an extensive dataset of ECG and PPG bio-signals, encompassing a diverse range of patient records.

• Applied machine learning algorithms involving classification and regression techniques to achieve interpretability

• Evaluated the accuracy with Log Loss as the evaluation metric and achieved 68.05% accuracy for the AI model Retail Customer Behavior Analysis and Sales Forecasting (Talend, Tableau, PowerBI) Oct 2023

• Leveraged SQL to aggregate data from multiple sources and employed SAS/DI Studio to clean and normalize data

• Applied Python to create 5 distinct customer segments based on purchasing patterns and utilized R for statistical analysis to identify key buying trends.

• Developed a robust sales forecasting model, predicting next quarter's trends with 95% accuracy, and crafted dynamic Power BI dashboards to display key insights

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