VAMSI KRISHNA SURISETTI
VAMSI KRISHNA SURISETTI
PORTFOLIO
DATA ANALYST AND SCIENTIST
A Little
About Me
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Embark on a data-driven journey with me, a digital nomad passionate about the world of data science. I've immersed myself in data science, where I blend creativity with precision. Along the way, I've tackled diverse projects, employing strategies like the Pareto Principle for maximum impact. My adaptable nature and unwavering dedication are my hallmarks. Elevate your projects with me as your data visionary. Let's connect and paint a data-driven masterpiece together!
Work Experience
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Agency Work
JUNIOR ENGINEER
⎼ OMDENA (SEP/2023-PRESENT)
- NIGERIA CHAPTER
- Food prices are pivotal in Nigerians' lives. This project leverages machine learning and Python to analyze historical food price data, predict trends, and provide insights. After collecting and preprocessing data, we employ EDA techniques for tailored model construction.
Freelance Work
VOLUNTEER MATH TEACHER
(AUG/2023-present)
Part-time Graphic Designer & Illustrator
(2022-2023)
Skills & Expertise
Data Science/Machine Learning
⎼ Python
⎼ Data Visualisation
⎼ Supervised learning algos
⎼ Unsupervised learning algos
⎼ feature selection and feature extraction.
Mathematics for ML & DL
⎼ Algebra.
⎼ Statistics.
⎼ Probability
⎼ Calculus
⎼ Matrices
Programming Languages
⎼ Python programming
⎼ SQL querying language
Data Visualisation
⎼ Ms Power BI.
⎼ Tableau.
⎼ Google Analytics.
⎼ Matplotlib and Seaborn.
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Python packages and Framework
⎼ Pandas
⎼ Numpy
⎼ Matplotlib
⎼ Beautiful Soup
⎼ Word Cloud
⎼ Text blob
⎼ Scikit Learn.
MS Office Suite.
⎼ MS Excel
⎼ MS Powerpoint
⎼ Ms Word.
Personal projects
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Customer Perspective: Sentiment Analysis and Predictive Modelling for an airline.
By capturing the sentiments and behavior of over 60,000 customers, you capture the essence of your business. Customer expertise is a vital factor, ensuring data-driven decisions that enhance customer satisfaction and service uptake, ultimately driving your success
MarketMastery: Predictive Analysis of NSE Nifty Index.
Mastering the market with predictive analysis, we imported and cleaned 16 years of NSE Nifty index data, ensuring data consistency. Through a Random Forest Classifier model, we achieved a 66% precision rate, underlining the model's role in aiding market analysis and informed decision-making. In the ever-fluctuating stock market, mastering your data is mastering your success.
T20 World cup cricket data analytics.
Creating a clear view, I extracted, cleaned, and organized T20 cricket data, harnessed Power BI's capabilities for filtering and dashboard design, and formed a team of 11 from a pool of 700+ players based on specific criteria. Clear data-driven insights make all the difference in winning games.
I was
created
to create
I was designed to decode the language of data, crafting insights that drive informed decisions.
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Other Projects
An array of data-driven solutions and analyses conceived, crafted, and executed by me, a seasoned data scientist
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Diving deep into the digital universe, 'Optimizing Social Media Engagement through Big Data Analysis' becomes the beacon of 'Social Buzz.' With a symphony of advanced analytics, we conduct a digital orchestra to elevate user engagement to unparalleled heights. We meticulously mine and decode vast data constellations, birthing a new era of content recommendations and user experiences, reshaping the digital landscape. In this digital age, the importance is clear: our mission isn't just to enhance, but to revolutionize, ensuring the platform's vitality and relevance in a rapidly evolving digital cosmos.
Ever pondered about your country's Olympic medal prospects? Machine Learning takes your curiosity to the next level. By delving into historical data, it accurately predicts future medal counts. The magic happens through Linear Regression, a powerful methodology that connects past performance, country, and future medal outcomes. Let's unveil the art of this data-driven crystal ball.
Dashboard of a global retail store(Walmart).
Fueling revenue growth in the global retail arena, our journey begins with data pre-processing and filtering. With 10,000+ rows meticulously cleansed and organized into Tableau, data visualization unfurls. Four interconnected charts offer insights into past QoQ results, top customers, dominant countries, and revenue by country.
Customer Churn Analysis Project : Creating a predictive model.
In a data-driven journey, we began by curating a diverse dataset of 10,000+ customer interactions. Through meticulous cleaning, we prepared the data for deeper insights.
Exploratory Data Analysis unveiled hidden patterns and guided our strategies. This laid the foundation for a predictive machine learning model using a decision tree classifier, achieving precision rates of 81% in uni-variate and 63% in bi-variate analysis.
The journey's climax arrived with model deployment via Flask, providing a user-friendly interface for real-time churn predictions. This was where data transformed into actionable insights
Vamsi Krishna Surisetti
Work
with Me
Hyderabad,India.
630-360-6145
iamvkrishna24@gmail.com
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