Krishna Barfiwala

+1-669-***-**** barfiwala.adxrft@r.postjobfree.com linkedin.com/in/krishna-barfiwala/ github.com/krishnabx Education

Northeastern University (GPA: 3.92/4) Boston, MA

Master of Science in Data Analytics Engineering Expected May 2024

• Relevant Coursework: Foundations of Data Analytics, Data Management for Analytics, Data Mining for Engineering, Machine Learning, Computation and Visualization, Financial Management for Engineers University of Mumbai, India (GPA: 3.47/4) Mumbai, India Master of Science, Statistics Jun 2021

• Relevant Coursework: Probability Distributions, Sampling Theory, Operation Research techniques, Theory of Estimation, Inventory Control, Testing of Hypothesis, Reliability, Time Series Analysis, Data distributions Technical Skills

Programming Languages: Python, SQL, R, SAS

Framework: Pandas, Scikit-learn, Plotly, Matplotlib, Seaborn, TensorFlow, Dplyr, GGplot, Business Intelligence,Keras Technologies: MySQL, SPSS, MongoDB, Microsoft Excel, Jupyter NB, Tableau, Minitab, Flourish, Google Cloud Platform, Amazon Web Services, PowerBI, Microsoft Office, Draw.io Experience

Data Analyst Jun 2021 – Jun 2022

Kantar Worldpanel Mumbai, India

• Implemented a clustering approach to efficiently categorize around 60 data attributes for several FMCG clients, using Macros VBAs, resulting in faster data processing and a 98.75% reduction in time required

• Executed problem-solving techniques to identify outliers in SKUs, propose logistical changes aligning with customer requirements, resulting in accurate attributes allocation, as measured by KPIs

• Established and presented effective dashboards using MS-Excel that assessed category distribution and brand performance; guided the client team in selecting optimal product mix and boosted accuracy by 20%

• Mentored team of 6 to develop proficiency in automation techniques, resulted in improved workflow Projects

Superhero Data visualization R-Studio, MS-Excel, Tableau, Flourish, Google Suite Jan 2023 – Apr 2023

• Pre-processed data using RStudio, applied techniques to handle missing values; utilized visualization tools to analyze and showcase gender representation

• Created interactive Tableau dashboards and showcased on Google sites to promote gender diversity representation Prediction of Adult Income Python-Pandas, Scikit-learn, Matplotlib, Seaborn Jan 2023 – Apr 2023

• Computed statistical analysis and performed comprehensive Exploratory Data Analysis on the census data using data visualization libraries like Matplotlib, Seaborn, plotly

• Programmed multiple machine learning models (such as Logistic Regression, Naive Bayes) and evaluation metrics from scratch using Python to predict the income of adults and found 82% accuracy using Logistic Regression Restaurant and Inventory Management System MySQL, NoSQL, Draw.io Sep 2022 – Dec 2022

• Designed a restaurant and inventory database schema using DDL scripts and established a 7-table relationships through normalization, aiming to increase profit

• Advanced business productivity and performance by identifying the 6-7 key aspects in the data and leveraged SQL and NoSQL(MongoDB) queries, resulting in an efficient data processing time Growth of OTT Video Services Python-Jupyter NB, SPSS, Minitab, Google Form Feb 2021 – May 2021

• Performed predictive data analysis in Python, focusing on the relationship between socio-demographic factors and OTT platform usage, identifying the top OTT platforms in India, and determining the most viewed genres

• Analyzed data using various machine learning algorithms, including Apriori, Cluster, Regression, Pareto, and SWOC analyses, to assess key factors influencing 73.55% of people utilizing OTT platforms