Pratik Mulye

About Pratik Mulye

Completed my master\'s in Information Systems from Stevens Institute of Technology (May 2021). I am a Data Analyst enthusiast who loves playing or analyzing large data. I am self-motivated and progress-driven looking to apply my skills and abilities to a challenging, growth-oriented position with a company. About me, I do possess the personality characteristics to carve a niche in this field. Not only do I have the confidence and the communication skills to stand out from the crowd, but I also have the 3 P’s which are integral to becoming a success in life - Perseverance, Passion, and Punctuality.I have worked for multinational companies like Citibank, Capgemini, and Amazon where I automated few processes to improve efficiency within a team as well as help to achieve client\'s goals effectively. I am proficient with Python, SQL, and Statistics. I am open-minded and focused on new developments in my field. I have proven to be effective and motivational, with proficiency in leadership and collaborative work. I enjoy data gathering, organizing, and analyzing information, brainstorming because I believe great ideas come when you work collaboratively. Throughout my corporate experience as well as daily life I have enhanced my analytical, leadership skills. I have also enhanced my statistical analysis and visualization skills.My tenure at Capgemini and Amazon has helped me grow professionally. I can now successfully work in a team as well as manage tasks single-handedly. Skills:Languages and Database: MySQL, Python (NumPy, Pandas, Plotly, Matplotlib), SQL Server, SAPAnalytical Tools: Tableau, Microsoft Excel (Macros, VLOOKUP, Visualization, Pivot Tables), MS Project (Gantt Chart)Data Modelling and Statistical Analysis: Exploratory Data Analysis (EDA), ETL (Extract Transform Load), Dimension Reduction,Hypothesis Testing, Linear and Logistic Regression, ARIMA, Time series, PCA, Data Schema, Data visualization, A/B testing, UML p••••••••@gmail.com 20••••••35

Experience

1. Data Strategy - Analytics and Data (Wealth Management)

   Morgan Stanley

   Jan 2025 — Present

   Leading data strategy initiatives within Morgan Stanley Wealth Management to modernize analytics infrastructure, improve data accessibility, and enable more scalable, insight-driven decision-making across business teams• Partnering with business, product, and technology stakeholders to gather requirements, define KPI frameworks, and translate complex business needs into scalable data and analytics solutions• Improving data quality, governance, and consistency by supporting metadata management, validation processes, and data lineage initiatives to strengthen trust in enterprise data assets• Streamlining reporting workflows and reducing manual effort by identifying process inefficiencies, automating recurring analytics tasks, and building scalable reporting frameworks• Collaborating cross-functionally with analytics, engineering, and business teams to support data transformation efforts, align data definitions, and deliver solutions that improve operational efficiency and decision-makingTech Stack: Snowflake, DataIku, DBeaver

Education

• Stevens Institute of Technology

  Master of Science - MS, Information Systems, Business Intelligence & Analytics

• University of Mumbai

  Bachelors of Engineering, Information Technology

Skills

• Sql
• Team Management
• Management
• Microsoft Word
• Microsoft Sql Server
• Java
• Microsoft Office
• Leadership
• Php
• Cascading Style Sheets (Css)
• Mysql
• Powerpoint
• Microsoft Excel
• Sap Abap
• Project Management
• Windows
• Javascript
• Html
• C++
• C
• Microsoft Dynamics Ax