Shabista Yaseen Portfolio
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Shabista Yaseen Patne

Data Analyst, Data Engineer, AI Engineer, Data Scientist, Software Developer

About Me

Hi, I'm Shabista Yaseen Patne, a dedicated Data Analyst passionate about leveraging data to drive impactful decisions 📊💡. With a strong foundation in SQL, Python, Tableau, and PowerBI, I excel in transforming raw data into meaningful insights 🔍.

At MentaMorph, I improved user engagement by 21% 📈 through strategic analysis of government datasets, and at Accenture, I reduced Oracle HCM work time by 83% ⏱️ by automating processes and enhancing system performance. With hands-on experience in data visualization, machine learning, and advanced analytics, my projects have spanned diverse industries, including finance, education, and healthcare.

Check out my latest projects here and explore how data analysis can fuel innovation 🚀. Let's connect if you're looking for a Data Analyst with both technical expertise and a knack for problem-solving 🤖.

Name: Shabista Yaseen Patne
Birthday: 04 August 1998
Degree: Bachelor of Engineering + Post Grad
Experience: 2 Years
Phone: +1 (705) 817-3086
Email: shabistayaseen04@gmail.com
Address: Toronto, ON, Canada
Freelance: Available

2

Years of

Experience

25

Complete

Projects

200

Coffees

Drunk

Skills

Python

80%

SQL

95%

Power BI

85%

Tableau

70%

Critical Thinking

95%

Statistical Analysis

85%

Experience

STUDENT DATA ANALYST

MentaMorph | 2023

    Researched and selected optimal government open datasets while working remotely, analyzing financial education needs across 15 states, targeting low-income occupations nationwide.

    Formulated tailored educational scenarios for specific age groups and low-wage occupations, enhancing financial literacy outreach.

    Utilized SQL to sift through extensive datasets and identify occupations requiring financial education, leading to targeted engagement strategies.

    Developed actionable insights to boost user engagement by 21% through strategic analysis of open government data.

    Leveraged Python for data analysis, generating comprehensive reports to inform decision-making and optimize user engagement.

ORACLE SOFTWARE ENGINEER

Accenture | 2021 - 2022

    Spearheaded automation efforts, working with global teams and supporting clients remotely, slashing work time by 83% through innovative procedure and function development for Oracle Work Structures.

    Implemented alerts within the Oracle HCM database, reducing Taleo recruiting errors by 53% and enhancing data integrity.

    Streamlined daily tasks by 35% through enhancements to Oracle HCM application functionality, ensuring seamless operations.

    Resolved critical incidents in Core HR, Payroll, and Taleo recruiting using advanced SQL queries, ensuring system stability.

    Garnered recognition as an exceptional team player by efficiently prioritizing and resolving IT support tickets, contributing to overall team success.

TRAINEE ENGINEER INTERN

Aptus Software | 2020

    Engineered optimized information systems by fine-tuning durable functions and Kafka, ensuring reliable data transfer and system efficiency.

    Authored Python programs for ETL operations, enhancing data quality and streamlining data processing across diverse databases.

    Implemented advanced data sorting techniques within Redis, boosting data retrieval efficiency and optimizing system performance.

    Crafted JSON records tailored to project requirements, facilitating seamless data integration and enhancing project outcomes.

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Services

Data Analysis

Utilize advanced statistical methods to analyze and interpret data, providing actionable insights for informed decision-making.

Business Analysis

Evaluate business processes, identify opportunities for improvement, and recommend strategic solutions to enhance overall performance.

Data Management

Design and implement effective data management strategies to ensure data accuracy, integrity, and accessibility.

Performance Analytics

Measure and analyze key performance indicators (KPIs) to assess the success and impact of business strategies and initiatives.

Portfolio

  • All
  • Data Visualization
  • Machine Learning
  • SQL & Data Analysis
FIFA World Cup Visualization

This Tableau visualization encapsulates the thrilling journey of the FIFA World Cup, showcasing the history and dynamics of matches, tournaments, and players.

Global GDP and Population Visualization

Used Tableau to visualize global GDP and population data, highlighting trends and shifts from 2018 to 2022.

NYC Taxi Preference Analysis

Leveraged machine learning and advanced data analysis techniques to dissect customer preferences between green and yellow taxis in NYC. Utilized PowerBI and Python to conduct in-depth analysis.

Credit Card Fraud Detection

Developed a machine learning model for detecting credit card fraud using a Kaggle dataset, showcasing skills in ML and fraud detection.

Queue Time Prediction

Implemented ML algorithms for predicting queue wait times, improving customer satisfaction and operational efficiency in service industries.

MentaMorph: Financial Literacy Outreach Optimization

Used SQL and Python to identify target occupations for financial literacy outreach, enhancing engagement by 21% through data-driven strategies.

COVID-19 Data Analysis

Applied AI techniques and SQL for comprehensive analysis of COVID-19 data, manipulating large datasets to extract AI-driven insights into pandemic trends.

Personalize Email for Marketing

Tailoring email offers based on customer behavior using Python, enhancing engagement and customer experience in digital marketing.

Reference

Contact Me

Feel free to reach out! You can contact me directly via email, phone, or LinkedIn.

Email: shabistayaseen04@gmail.com

Phone: +1(705) 817-3086

LinkedIn: Connect with me on LinkedIn

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