Overview
Work History
Education
Skills
Academic Projects
Work Preference
Summary
Timeline
Hi, I’m

Manmitha Pantangi

Boston,MA
Manmitha Pantangi

Overview

2
years of professional experience
5
years of post-secondary education

Work History

Tata Consultancy Services (TCS)
Chennai

Assistant Systems Engineer
07.2021 - 08.2022

Job overview

  • Leveraged ETL and MySQL to convert unstructured customer data into structured databases, enhancing analysis and reporting capabilities with Power BI.
  • Utilized Python for data processing and automation, enhancing data accuracy and optimizing data workflows by 11%.
  • Automated CRM data integration, cutting process times by 12%, and improved data integrity of client’s bank application.
  • Managed customer issue resolution, leading to a 15% boost in customer satisfaction, while expediting project flow through impactful Exploratory Data Analysis, enhancing data quality.
  • Synthesized complex data into strategic reports and interactive dashboards using Tableau and Power BI, driving informed business decisions.
  • Developed complex dashboards and reporting tools to track business performance metrics.
  • Extracted and interpreted data patterns to translate findings into actionable outcomes.

IkkatHub
Hyderabad

Data Analyst Intern
06.2020 - 08.2020

Job overview

  • Leveraged advanced SQL queries for data retrieval, cleaning, and analysis, facilitating insights from extensive datasets.
  • Integrated data collection mechanisms and analytics tools, resulting in a significant 20% increase in data accuracy.
  • Utilized clustering techniques to categorize customers based on purchasing behavior, contributing to a 7% boost in sales.
  • Conducted extensive data analysis on a dataset of over 1 million transactions, employing advanced SQL queries and hypothesis testing methods (t-tests and ANOVA) to derive actionable insights.
  • Developed Tableau dashboards for sales data visualization, uncovering a 13% decline in product sales, paving the way for data-driven strategies for improvement.
  • Monitored and controlled data upload, checking for successful data import and quality.
  • Employed data mining techniques to identify business opportunities.

Education

Northeastern University
Boston, MA

Master of Science from Data Analytics, Applied Machine Intelligence
09.2022 - Current

University Overview

A Master's in Data Analytics programme helps students become proficient in a variety of technologies and abilities that are essential for success in the industry. I was able to advance my knowledge in Python, R, and SQL programming languages as well as statistical analysis, data visualization, and predictive modelling. Data mining, big data technologies (such as Hadoop and Spark), machine learning approaches, and tools for data manipulation and analysis (like Tableau or Power BI) were also covered in the course. Throughout the course, there was a strong emphasis on developing practical experience working with actual datasets, using analytical tools, and effectively communicating findings. I have undoubtedly emerged with a broad skill set that will enable me to take on challenging data problems in a variety of businesses.

  • Relevant Coursework: Database Management Systems, Communication and Visualization for Data Analytics, Data Mining Applications, Data Management and Big Data, Predictive Analytics, Applications of Artificial Intelligence, AI System Technologies.
  • 3.91 GPA

Jawaharlal Nehru Technological University

Bachelor of Science from Mechanical Engineering
08.2017 - 08.2021

University Overview

Earning a bachelor's degree in mechanical engineering has equipped me with a diverse skill set and familiarity with a multitude of essential technologies, crucial for thriving in the engineering sector. My academic journey delved into an array of subjects including design principles and material sciences, with a particular focus on the dynamics of thermodynamics and mechanics. The curriculum also incorporated specialized courses like Problem Solving and Data Structures through C, Python Programming, Probability and Statistics, and advanced Mathematics, encompassing Linear Algebra and Calculus. A significant portion of my education was dedicated to mastering engineering software tools such as CAD and MATLAB, which are pivotal for design and analytical tasks. My proficiency in these applications was enhanced through hands-on projects, where I learned to evaluate and devise solutions for complex mechanical systems.

  • Relevant Coursework: Problem Solving and Data Structures through C, Python Programming, Probability and Statistics, Mathematics (Linear Algebra, Calculus), CAD/CAM, MATLAB
  • 3.7 GPA

Skills

  • Programming languages: Python, R, MySQL, C
  • Libraries: OpenCV, Pandas, SciPy, NumPy, scikit-learn, NLTK, matplotlib, seaborn, Keras, TensorFlow
  • Database: MySQL, Microsoft SQL Server, SQLite
  • Machine Learning: Regression, Classification, Neural Networks, RNN, LSTM, SVM, NLP, A/B Testing
  • Data Visualization: Tableau, Power BI
  • Tools/Technologies: Git, Jupyter Notebook, PyCharm, Airflow, RStudio, Snowflake, Data Studio, Microsoft Office
  • Soft Skills: Communication, Critical thinking, Problem solving, Teamwork, Adaptable, Management

Academic Projects

Academic Projects

Predictive Analysis and Visualization of Plastic Pollution in North America
The 5 Gyres Institute (Non-profit), Boston, USA | Experiential Learning (Data Analyst)

• Collaborated with the 5 Gyres Institute to analyze 12 months of real-time data on plastic pollution in North America.

• Built a predictive model leveraging geospatial clustering analysis to identify top 10 geographic hotspots of plastic pollution.

• Visualized plastic waste data and built an interactive Tableau dashboard for stakeholder proposals.

Leveraging Sales Analysis and Predictive Modeling | Machine Learning, Regression, Hyperparameter optimization

• Utilized exploratory data analysis (EDA) techniques to understand customer purchasing behaviors and patterns.

• Deployed regression models, including Decision Tree Regressor, Random Forest, and XGBoost, to precisely forecast future sales.

XGBoost model achieved outstanding results with an MSE of 1800.61, RMSE of 42.43, and an R-squared value of 0.92.

Laptop Price Prediction | R, Hypothesis Testing, Regression

• Performed comprehensive data analysis to make precise predictions regarding laptop prices.

• Established a laptop price prediction system using R, incorporating multiple linear regression, ridge, and lasso regularisation.

• The Lasso and Ridge regression models outperformed a basic Linear Regression model with R-squares of 75% and 76% respectively.

Yelp Data Analysis for Business Performance | Python, PySpark, SparkSQL

• Applied K-means algorithm for clustering analysis to extract restaurant distribution and characteristics from ratings and reviews.

• Engaged in an in-depth analysis of Yelp data to comprehend factors influencing businesses' success on Yelp platform.

• Deployed advanced big data tools for extensive analysis of a 5 million-record Yelp dataset.

Work Preference

Work Type

Full TimeInternship

Location Preference

On-SiteHybridRemote

Important To Me

Work-life balanceCareer advancementPersonal development programsCompany CultureTeam Building / Company Retreats

Summary

As a master's student in Data Analytics at Northeastern University, I am passionate about using Python, SQL, and machine learning to solve real-world problems and generate insights from data.

I have 1+ years of work experience as an Assistant Systems Engineer at Tata Consultancy Services, where I enhanced data accuracy and optimized data workflows using Python for data processing and automation. I also collaborated with cross-functional teams to design and implement relational databases using SQL to store, manage, and retrieve financial data. Additionally, I have 3 months of internship experience as a Data Analyst at IkkatHub, where I leveraged advanced SQL queries, clustering and segmentation techniques, hypothesis testing methods, and Tableau dashboards to analyze and visualize sales data, resulting in a 7% increase in sales and a 20% improvement in data accuracy.

Timeline

Northeastern University
Master of Science from Data Analytics, Applied Machine Intelligence
09.2022 - Current
Assistant Systems Engineer
Tata Consultancy Services (TCS)
07.2021 - 08.2022
Data Analyst Intern
IkkatHub
06.2020 - 08.2020
Jawaharlal Nehru Technological University
Bachelor of Science from Mechanical Engineering
08.2017 - 08.2021
Manmitha Pantangi