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 🤖.
Years of
Complete
Coffees
Python
80%
SQL
95%
Power BI
85%
Tableau
70%
Critical Thinking
95%
Statistical Analysis
85%
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.
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.
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.
Utilize advanced statistical methods to analyze and interpret data, providing actionable insights for informed decision-making.
Evaluate business processes, identify opportunities for improvement, and recommend strategic solutions to enhance overall performance.
Design and implement effective data management strategies to ensure data accuracy, integrity, and accessibility.
Measure and analyze key performance indicators (KPIs) to assess the success and impact of business strategies and initiatives.
This Tableau visualization encapsulates the thrilling journey of the FIFA World Cup, showcasing the history and dynamics of matches, tournaments, and players.
Used Tableau to visualize global GDP and population data, highlighting trends and shifts from 2018 to 2022.
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.
Developed a machine learning model for detecting credit card fraud using a Kaggle dataset, showcasing skills in ML and fraud detection.
Implemented ML algorithms for predicting queue wait times, improving customer satisfaction and operational efficiency in service industries.
Used SQL and Python to identify target occupations for financial literacy outreach, enhancing engagement by 21% through data-driven strategies.
Applied AI techniques and SQL for comprehensive analysis of COVID-19 data, manipulating large datasets to extract AI-driven insights into pandemic trends.
Tailoring email offers based on customer behavior using Python, enhancing engagement and customer experience in digital marketing.
Shabista and I were batchmates while pursuing the four-year bachelor's degree. It's rare that you come across a standout talent like Shabista. Her technical knowledge and fantastic problem-solving ability always helped us in the completion of difficult tasks. On multiple occasions, we have worked in a team to deliver wonderful projects. She strives for excellence to deliver quality work and has the ability to maximize her potential. She has proven to be a remarkable problem solver and a valuable team player. I strongly recommend organizations to use her noteworthy services.
I am writing to highly recommend my colleague from college, Shabista Patne. I had the pleasure of studying and working alongside her for 4 years, and throughout our time together, I was consistently impressed by her dedication, intelligence, and strong work ethic.
Shabista is an exceptionally talented individual who excels in both academic and practical pursuits. She has a keen intellect and a natural ability to grasp complex concepts quickly. She consistently contributed valuable insights and fresh perspectives during our group discussions and projects.
One of Shabista's standout qualities is their unwavering commitment to excellence. She approaches tasks with meticulous attention to detail, ensuring that every project is completed to the highest standard. She is also an excellent team player, always willing to collaborate and share knowledge to achieve common goals.
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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