Sayali Madhukar Babar

Nashville, Tennessee LinkedIn 315-***-**** ad4un0@r.postjobfree.com Github EDUCATION

Syracuse University, School of Information Studies, New York August 2021 to May 2023 Master of Science in Information Management, Certificate of Advancement in Applied Data Science Relevant Coursework: Data Science, Data Analytics, Data Warehousing, Big Data Analytics, Strategic Management Pune University, Pimpri Chinchwad College of Engineering, Pune August 2016 to May 2020 Bachelor of Engineering in Computer Engineering

Relevant Coursework: Engineering Mathematics, Machine Learning, Data Structures and Algorithms, Project Management TECHNICAL SKILLS

• Programming Languages: R, Python, PL-SQL, SQL, Java

• Database: Microsoft SQL Server, Oracle, MySQL, Microsoft Azure SQL, PostgreSQL, Mongo DB, SQLite, AWS RDS

• Domain Skills: Data Visualization, Machine Learning, Business Intelligence, Statistical Analysis, ETL

• Libraries: ggplot2, dplyr, tidyverse, igraph, dash, seaborn, pandas, numpy, scikit-learn, pyspark, matplotlib, plotly, keras

• Software & tools: Microsoft Excel, MS Office, Power BI, Tableau, Jupyter, Visual Studio, MS Project, Databricks, Dataiku

• Soft Skills: Problem-Solving, Time Management, Critical Thinking, Leadership, Decision Making, Networking EXPERIENCE

Consultant Data Analytics FTI Consulting Nashville January 2023 to February 2024

• Leveraged Databricks to execute SQL and Python scripts for data analysis by creating tables and harnessing a wide array of functions and queries which were instrumental in efficient extraction, transformation, and manipulation of vast volumes of data, streamlining critical data processing tasks

• Utilized advanced data visualization techniques in Power BI to design and develop a comprehensive financial dashboard for consulting clients that provided real-time insights into critical financial metrics, including Cash Flow, EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization), and several other key performance indicators (KPIs)

• Engineered and deployed an advanced Python predictive model tailored for the telecom industry, meticulously factoring in preconditions such as discounts, overbuild, speed, product type, and plan; this comprehensive model accurately calculates revenue, ARPU (Average Revenue Per User), & other vital metrics, providing precise insights to guide strategic decision-making

• Created a end-to-end development of holistic Data Management Compliance Assessment Tool using a tech stack that included Python Dash Plotly, Flask, HTML, and CSS which empowers companies to evaluate and enhance their data management practices by conducting compliance assessments across multiple domains, control, and specifications

• Designed and created a data science web application using the Python Flask library, enabling accurate revenue calculations and predictions within the telecommunications industry

• Examined data in excel to perform data analysis by implementing regression models, correlation, forecasting, A/B testing, pivot tables, and vlookup, which helped in formulating effective business strategies Data Architect Tremco CPG Incorporated Ohio June 2022 to December 2022

• Developed and managed enterprise-wide data analytics environments by creating ETL pipeline, InfoObjects, InfoCubes, Datastore, and routine packages in the business data warehouse

• Built interactive visuals using Power BI dashboards to highlight desired aspects of key financial and performance indicators of the company products; also used DAX, BEx Analyzer, and Power Query for data preparation and transformation Data Engineer iConsult Collaborative New York September 2021 to May 2022

• Developed data models and database designs to plan projects for clients across multiple verticals - including software, education, marketing, banking, government, and retail

• Implemented SQL queries using joins, grouping, window functions and CTE; to aggregate, manipulate & validate data

• Created Python scripts to perform data analysis on business operations and developed machine learning models for anomaly detection, forecasting and NLP classification

PROJECTS

Data Warehouse and Business Intelligence Fudge Mart ETL March 2022 to June 2022

• Utilized data from two organizations – a video rental company and an online retailer to create an OLAP cube

• Implemented batch-processed packages with surrogate key pipelining for ETL on SSIS

• Built a dashboard for business processes by connecting Power BI to the data warehouse to produce coherent insights

• Developed SSAS cube to create data hierarchies & optimized KPIs to improve sales, customer reviews, and delivery time Natural Language Processing Smart Email Writing Assistant January 2022 to May 2022

• Built an email corpus and processed text to create a training sequence

• Developed sequence model using LSTM cells and deep learning architecture to create an email assistant that completed the partial words and predicted the next words in the sentence Data Analysis Revenue Generation in Hotel Industry August 2021 to December 2021

• Performed exploratory data analysis on a dataset with 19 attributes & 70,000 observations to understand the broad patterns

• Generated visual representations using ggplot2, mapdata & implemented association rule mining using arulesViz in R

• Evaluated three machine learning models: SVM Classification, Logistic Regression, Decision Tree, and concluded that the SVM model best predicted the hotel reservation status with an accuracy of 82%

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