Summary
Overview
Education
Skills
Certification
Languages
Timeline
Work History
Projects
References
Projects
References
Generic

Anuj Upadhyay

Gurugram

Summary

Results-driven Data Analyst with a solid background in machine learning, data visualisation, and business analytics. Seeking to leverage extensive experience in predictive modeling, interactive dashboards, and
comprehensive data analysis to drive strategic decision-making and operational efficiency at a forward-thinking organization. Highly skilled in Python, SQL, Power BI, and Excel, with a strong commitment to uncovering actionable insights and enhancing business performance. Looking to contribute to a dynamic team where analytical skills and a passion for data can create impactful business solutions.

Overview

1
1
Certificate
13
13
years of professional experience

Education

MBA - Marketing

ITM Business School
NAVI MUMBAI
05.2016

B-Tech in Computer Science - Computer Science

SUS College Of Engineering And Technology
Punjab
07.2010

PGP in Data Science & Machine Learning in Data Science - Data Science

Intellipaat

Skills

  • Python: Scikit-learn,numpy,pandas,matplotlib and seaborn
  • SQL Server: CRUD, Joins, Aggregate function, Windows function, SSIS in SQL Server
  • Power BI: Extract, Transform & Load(ETL), Data Modeling, DAX, Data Visualization, RLS, Drill through
  • MS-Excel: Pivot Tables, VLOOKUP & HLOOKUP, Graphs & Charts, Conditional formatting, Basic formulas
  • Data Analysis: Problem-solving, Critical Thinking, Insights Delivery, KPI Idenfication
  • Tools: ChatGPT

Certification

  • Machine Learning with python,MIT, May 2023
  • Python Professional Certificate, Google, 01/01/23
  • Supervised Machine Learning, Andrew Ng, 01/01/23

Languages

Hindi
First Language
English
Advanced (C1)
C1

Timeline

Data Analyst

Careerguide.com
09.2023 - Current

Data Science Intern

Intellipaat
10.2022 - 08.2023

Retail Store Manager/Retail Growth Analyst

Madame Clothing
10.2021 - 08.2022

Retail Store Manager

Zodiac Clothing Ltd
10.2018 - 09.2021

Assistant Store Manager

Landmark International
11.2016 - 01.2018

Back Office Executive

Chandra Electricals
02.2011 - 04.2014

MBA - Marketing

ITM Business School

B-Tech in Computer Science - Computer Science

SUS College Of Engineering And Technology

PGP in Data Science & Machine Learning in Data Science - Data Science

Intellipaat

Work History

Data Analyst

Careerguide.com
New Delhi
09.2023 - Current

"CareerGuide.com is an ed-tech company offering career counseling, psychometric tests, and expert advice for students and professionals. I analyze traffic data to optimize user engagement and improve website content, providing insights that enhance the overall user experience. Collaborating with cross-functional teams, I drive data-driven decision-making to support the platform's goals."

  • Partnered directly with the executive team as the first data hire to formulate and report on KPIs across their web properties that received 1M visitors using SQL and Google Sheets.
  • Built a lead scoring machine learning model for the sales team to predict customer behavior, resulting in a 32% increase in sales.
  • Developed root cause reports to address problems with web traffic visits, successfully revealing insights that boosted traffic by 50%.
  • Compiled reports using Excel spreadsheets, Power Query, and Power BI for data visualization.
  • Maintained documentation of all the processes related to Data Analysis.

Data Science Intern

Intellipaat
10.2022 - 08.2023

"Intellipaat is a prominent training provider known for virtual programs in data science, machine learning, and other advanced technologies. Their hands-on learning approach prepares learners for careers in the tech industry with practical skills and certifications. I personally undertook a virtual internship with Intellipaat in data science and machine learning, enhancing my expertise in these areas."

  • Built machine learning models for classification and regression problems.
  • Utilized SQL expertise to develop complex subqueries, stored procedures, and user-defined functions
    UDFs for efficient data retrieval and manipulation in database systems.
  • Leveraged Python's numpy, pandas, and matplotlib libraries to analyze, preprocess, and visualize
    large datasets, facilitating data-driven decision-making processes.
  • Implemented advanced analytics and machine learning algorithms to derive actionable insights from
    data,contributing to predictive modeling and optimization tasks.
  • Designed and optimized Power BI reports using Power Query and DAX expressions to transform raw data into insightful visualizations, enabling stakeholders to make informed business decisions.

Retail Store Manager/Retail Growth Analyst

Madame Clothing
Ludhiana
10.2021 - 08.2022

"The brand provides fast fashion for young women across three continents through EBOs, Store-in-Store Outlets, an official e-commerce website and other online marketplaces"

  • Led a team of 5 employees in managing day-to-day operations, optimizing sales, and enhancing customer satisfaction.
  • Developed and implemented data-driven strategies to optimize sales, inventory management, and customer satisfaction, resulting in a 15% increase in revenue within the first year.
  • Collaborated with the marketing team to develop and execute effective marketing campaigns, leveraging customer data insights fetched from SQL databases and visualized in Power BI to tailor messaging and offers to specific customer segments.
  • Drafted detailed reports on store performance for upper management review using Power BI.
  • Conducted regular meetings with staff members to discuss performance issues or new initiatives.
  • Drafted detailed reports on store performance for upper management review.

Retail Store Manager

Zodiac Clothing Ltd
New Delhi
10.2018 - 09.2021
  • Oversaw retail operations to ensure all stations were operating efficiently and maintaining customer service standards.
  • Analyzed financial data to identify areas of improvement for profitability using Power BI for visualization and Power Query for data manipulation.
  • Developed strategies for increasing sales and improving customer service.
  • Conducted inventory management activities such as receiving shipments and maintaining stock levels.
  • Organized merchandise displays according to seasonal promotions or special events.

Assistant Store Manager

Landmark International
Riyadh
11.2016 - 01.2018
  • Delegated work to staff, setting priorities and goals.
  • Provided leadership, insight, and mentoring to newly hired employees to supply knowledge of various company programs.
  • Collaborated with the sales team to drive revenue growth.
  • Managed budgets, financial forecasting, and analysis using MS Excel for data manipulation and analysis.
  • Ensured compliance with all safety regulations throughout the store premises.
  • Used MS PowerPoint for data presentation and to create compelling reports and presentations.

Back Office Executive

Chandra Electricals
New Delhi
02.2011 - 04.2014
  • Ensured timely processing of invoices for payment.
  • Managed daily office operations and administrative tasks efficiently.
  • Performed data entry tasks to ensure record accuracy.
  • Kept office equipment functional and supplies well-stocked to promote efficient operations.

Projects

HR Analytics Using Power BI and SQL Server

  • Utilized Power BI and SQL Server to develop HR analytics reports and dashboards, providing insights into employee performance, engagement, and retention.
  • Conducted data analysis to identify trends, patterns, and outliers in HR data, leading to actionable insights and recommendations for process improvement.
  • Automated manual HR reporting processes using Power BI and SQL Server, resulting in time savings and improved data accuracy.

Advertisement Strategy Analysis using Machine Learning and Power bi

  • Analyzed advertisement performance data using Machine Learning algorithms to identify trends, patterns, and insights.
  • Developed interactive dashboards and reports in Power BI to visualize advertisement metrics and track campaign performance.

Smoking Detection for Blood Donation Using Machine Learning.

  • Developed machine learning models for smoking detection in blood donation centres using Python and scikit-learn.
  • Conducted data preprocessing and feature engineering to extract relevant features from sensor data collected from donors.
  • Implemented classification algorithms such as Random Forest to classify donors as smokers or non-smokers.
  • Deployed the machine learning model using Streamlit for easy access.

References

References available upon request.

Projects

HR Analytics Using Power BI and SQL Server

  • Utilized Power BI and SQL Server to develop HR analytics reports and dashboards, providing insights into employee performance, engagement, and retention.
  • Conducted data analysis to identify trends, patterns, and outliers in HR data, leading to actionable insights and recommendations for process improvement.
  • Automated manual HR reporting processes using Power BI and SQL Server, resulting in time savings and improved data accuracy.

Advertisement Strategy Analysis using Machine Learning and Power bi

  • Analyzed advertisement performance data using Machine Learning algorithms to identify trends, patterns, and insights.
  • Developed interactive dashboards and reports in Power BI to visualize advertisement metrics and track campaign performance.

Smoking Detection for Blood Donation Using Machine Learning.

  • Developed machine learning models for smoking detection in blood donation centres using Python and scikit-learn.
  • Conducted data preprocessing and feature engineering to extract relevant features from sensor data collected from donors.
  • Implemented classification algorithms such as Random Forest to classify donors as smokers or non-smokers.
  • Deployed the machine learning model using Streamlit for easy access.

References

References available upon request.
Anuj Upadhyay