Hritvik Patwa

Data Scientist

Mumbai, Maharashtra, India5 yrs 4 mos experience

Key Highlights

Expert in data visualization and analytics.
Strong background in machine learning frameworks.
Proven track record in automating business processes.

Stackforce AI infers this person is a Data Analyst with expertise in Data Science and Business Intelligence.

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Skills

Core Skills

Data ScienceBusiness Intelligence (bi)Data AnalysisData VisualizationMachine LearningData Engineering

Other Skills

A/B TestingAWS EC2AWS LambdaAmazon AthenaAmazon EC2Amazon S3Amazon Web Services (AWS)Analytical SkillsAnalyticsAutomationBeautifulSoupBoto3CommunicationData AnalyticsData Cleaning

About

👨‍💻 𝗪𝗛𝗔𝗧 𝗗𝗢 𝗜 𝗗𝗢? I work as a Data/Business Analyst and provide insights by automating the business processes, performing EDA for visualizing the insights and enabling organizations leverage data to drive their overall business impact by implementing data analytics, machine learning frameworks through cutting edge solutions. I have a strong Mathematical background and keen learning interest in the field of Data Science. 📚 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ➤ Programming Languages- Python, Java ➤ Databases - SQL Server, MySQL, Big Query, Snowflake, Postgre, Mongo DB, Apache Druid ➤ Data Visualization - Tableau, Power BI, Looker ➤ Others- APIs, Excel, GIT, Bitbucket, AWS Athena and AWS S3, AWS EC2, AWS Lambda, GCP, Look ML, Kafka

Experience

5 yrs 4 mos

Total Experience

2 yrs

Average Tenure

1 yr 3 mos

Current Experience

Tripstack

Senior Data Analyst

Mar 2025 – Present · 1 yr 3 mos

Traya

2 roles

Senior Data Analyst

Promoted

May 2024 – Mar 2025 · 10 mos

Statistical Data AnalysisData ScienceBusiness Intelligence (BI)A/B TestingProduct AnalyticsGoogle Cloud Platform (GCP)+4

Data Analyst

Jun 2023 – May 2024 · 11 mos

Led comprehensive strategies for retention, acquisition, and app performance analytics.
Streamlined data processing workflows, ensuring efficient ETL for analytics using Pyspark, GCP.
Developed impactful strategies for user retention and effective acquisition campaigns.
Enhanced user experience through in-depth analysis, optimizing app features for efficiency.
Transformed complex data into insightful visualizations for informed decision-making using Power BI and Google Data Studio
Tech Stack : GCP, Python, Pyspark, Power BI, Mongo DB, Postgre SQL.

GCPPythonPysparkPower BIMongo DBPostgre SQL+2

Merkle

3 roles

Analyst

Promoted

Apr 2023 – Jun 2023 · 2 mos

Provide End to End solutions on Data to Insights to Actions to a wide range of industries by developing various Analytical platform, advanced statistical models and machine learning algorithms.
Worked on big data analytics, A/B testing & advanced data science techniques
Built an automated one-click complex dashboard using Tableau and Python from scratch
Automated the overall Data Transformation and Ad-Hoc analysis process, deployed the system on
Amazon EC2, connected through Amazon S3 and Amazon Athena using Python
Developed optimized SQL Queries for retail analytics using MS SQL Server, PostgreSQL
Built Custom Data Visualization web application and REST APIs using Java, Angular JS
Python libraries- Numpy, Pandas, Scikit learn, Tensorflow, Matplotlib, Seaborn, Boto3, BeautifulSoup

TableauPythonAmazon EC2Amazon S3Amazon AthenaMS SQL Server+11

Associate Analyst

Dec 2021 – Apr 2023 · 1 yr 4 mos

Developed and implemented ETL processes to extract, transform, and load data from various sources into a centralized data warehouse.
Utilized Python to perform data analysis, data visualization, and automation of routine tasks.
Created and optimized SQL queries to extract data from large databases, ensuring data quality and accuracy.
Conducted data wrangling tasks such as cleaning, transforming, and organizing data to make it usable for analysis.
Worked on data modeling and database design to create efficient data structures that support business needs.

Business Intelligence (BI)Amazon AthenaMicrosoft SQL ServerPythonSQLJava+10

Consultant

Dec 2020 – Dec 2021 · 1 yr

Conducted ad hoc reporting and analysis to answer specific business questions and provide insights into key performance metrics.
Developed and maintained taxonomies and metadata structures to ensure consistency and accuracy in data classification.
Utilized SQL to extract data from large databases and create reports, dashboards, and other data visualizations.
Built machine learning models to classify products based on features and attributes, improving accuracy and efficiency in product categorization.
Worked with cross-functional teams to understand business requirements and develop data-driven solutions to meet client needs.