Rachit Mehta

Data Scientist

Reliance Jio Infocomm Limited•  December 2021 - Present•  Navi Mumbai

Primary Skill: Python, Spark, Scala, PySpark, AI/ML, Data Science, Data Engineering, Big Data, Hadoop, Azure Concepts: Regression, Experimentation (A/B testing, MAB) Casual Inference, Machine Learning at Scale, Regular expression, Classification, Clustering, Naïve Bayes, Deep Learning, CNN. Tools: Microsoft Office (expert in Excel), Tableau, Power BI, Qliksense, Quicksight (AWS), DataBricks Programming: Python, SQL, R As a Data Scientist at Reliance Jio Infocomm Limited, I have honed my ability to analyze complex business problems and deliver actionable insights that drive decision-making. My experience includes leveraging statistical analysis, machine learning, and data modeling to uncover patterns and trends, and informing strategic decisions through data-driven intelligence. I have played a pivotal role in the 5G rollout across PAN India, utilizing AI/ML techniques for data preprocessing, extraction, cleansing, analytics, and modeling to optimize business growth. Key accomplishments in my current role include: - Revamped customer churn prediction strategy: Applied Big Data analytics and AI algorithms, leading to a 30% increase in predictive accuracy and a 20% boost in customer retention. - Developed predictive models: Leveraged Python, Scala, and AI/ML algorithms to forecast customer behavior related to network connectivity issues, resulting in a 25% reduction in customer-reported outages and a 20% increase in network stability. - Spearheaded digital workflow automation: Enhanced operational efficiency through innovative data science applications and advanced AI/ML techniques. My technical proficiency includes programming in Python, SQL, and R, as well as expertise in tools such as Microsoft Excel, Tableau, Power BI, and AWS Quicksight. My core competencies encompass regression, experimentation (A/B testing, MAB), causal inference, machine learning at scale, and deep learning. I pursued data science because I am fascinated by understanding human behavior and the decision-making process. I am passionate about using data and statistical modeling/testing to provide business insights and generate significant business impact. My educational background includes an M.Tech. in Computer Science Engineering from VJTI Mumbai, with a focus on cybersecurity utilizing AI and ML.

Veermata Jijabai Technological Institute (Formerly Victoria Jubilee Technical Institute)

M.Tech. in Computer Engineering•  July 2019 - August 2021•  CGPA: 7.5

Thank you for having me! My name is Rachit Mehta and I am a Data Scientist with 2+ years of experience. I completed my B.Tech in Computers from Universal College of Engineering in 2019, followed by an M.Tech in Computers Specialization in CyberSecurity using Artificial Intelligence and Machine Learning from VJTI, Mumbai. My educational background has provided me with a strong foundation in computer science and data analysis. What sparked my interest in the Data Scientist role was my fascination with the power of data and its ability to drive insights and decision-making. During my undergraduate studies, I was introduced to the field of artificial intelligence and machine learning, which opened my eyes to the vast opportunities and potential of harnessing data to solve complex problems. I was captivated by the idea of using data-driven approaches to make informed decisions and drive innovation. Since then, I have been actively working in the field, applying my skills in Python, machine learning, and computer vision to develop models and algorithms that extract valuable insights from large datasets. I have also gained experience in software development, web development, and software engineering, which have complemented my role as a Data Scientist and allowed me to effectively communicate and implement data-driven solutions. I bring energy, passion, and expertise into powerful data storytelling with the ability to analyze and solve challenging business problems and influence decision-making at a leadership level. I empower my stakeholders to make data-informed decisions. I have experience in sentiment analysis, business intelligence, survey/experimental design, and analysis. I enjoy building my technical and personal skills through interdisciplinary projects and diverse leadership roles. The reason I chose to pursue data science is that I have always been interested in understanding human behavior. I love to understand why people act and make decisions the way they do and data makes it easier for businesses to analyze this. I'm passionate about using data and statistical modeling/testing to provide business insights and generate business impact. • Programming: Python, SQL, R • Tools: Microsoft Office (expert in Excel), Tableau, Power BI. • Concepts: Regression, Experimentation (A/B testing, MAB) Casual Inference, Machine Learning at Scale, Regular expression, Classification, Clustering, Naïve Bayes, Deep Learning, CNN. I'm truly passionate about this field and excited about the opportunity to contribute my skills and expertise to make life's better.