Eben Emmanuel

Business Analyst

Bangalore Urban, Karnataka, India3 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led initiatives improving customer retention strategies.
Automated reporting processes, enhancing efficiency by 40%.
Developed predictive models for customer engagement.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and advanced analytics.

Contact

Skills

Core Skills

Data ScienceCustomer AnalyticsReporting & AnalysisFraud DetectionMachine Learning

Other Skills

CommunicationCustomer Retention StrategiesData AnalysisExcelExploratory Data AnalysisImage ProcessingManagementMathematicsMicrosoft ExcelNatural Language Processing (NLP)Optical Character Recognition (OCR)Predictive ModelingPresentationsProblem SolvingPython

About

📊 Senior Data Analyst with over 2 years of experience at HSBC, enabling data-informed decisions through advanced analytics and reporting. Experienced in applying statistical techniques and predictive modeling to solve business problems, optimize strategies, and uncover actionable insights. 🎓 Master’s in Data Science, with a strong foundation in machine learning, data visualization, and business intelligence. Skilled in tools and technologies including Python, SAS, SQL, and Excel, with a focus on automation and efficiency. 💡 Known for effectively communicating complex findings to stakeholders and driving collaboration across cross-functional teams. Proven track record in delivering high-impact projects in customer analytics, pricing strategy, and performance reporting. 🚀 Passionate about continuous learning and contributing to data-driven cultures in dynamic, fast-paced environments. 📬 Let’s connect: ebenemmanuel7@gmail.com

Experience

3 yrs 8 mos

Total Experience

3 yrs 8 mos

Average Tenure

3 yrs 8 mos

Current Experience

Hsbc

2 roles

Senior Analyst

Sep 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

📊 Led analysis of customer fund flows, identifying retention trends and enhancing transparency in financial movements, which contributed to more effective retention and engagement strategies.
💼 Spearheaded initiatives to track high-value customers, enabling targeted engagement by relationship managers and supporting efforts to grow assets under management.
📈 Conducted cross-sell analysis by leveraging customer behavioral data to identify upsell opportunities, informing targeted marketing campaigns and driving product penetration.
🏆 Recognized for responsiveness, attention to detail, and consistent delivery, building trust with stakeholders and contributing to the success of key projects.

Statistical Data AnalysisMachine LearningReporting & AnalysisSASSQLData Science+4

Analyst

Jul 2022 – Aug 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

📊 Led the development of a global reporting dashboard, aggregating data from multiple sources and delivering real-time, actionable insights to senior leadership. This initiative received positive feedback for improving operational efficiency and decision-making
🧑‍💻 Automated reporting processes using Python and Excel, reducing manual reporting time by 40%, resulting in faster, more accurate data delivery to stakeholders.
📈 Leveraged advanced statistical analysis and predictive modeling to design customer retention strategies, significantly improving customer engagement and contributing to long-term retention.
💡 Collaborated with cross-functional teams (Marketing, Product, Operations) to refine pricing models and strategies, leveraging customer analytics to achieve a 12% growth in sales within the targeted product segment.

Statistical Data AnalysisMachine LearningReporting & AnalysisSASSQLData Science+4

Open financial technologies

Data Analyst

Dec 2021 – Jun 2022 · 6 mos · Bangalore Urban, Karnataka, India · On-site

📅 Forecasted customer onboardings across different company verticals using time series and deep learning models, optimizing resource allocation and improving customer acquisition strategies.
🔍 Developed fraud detection models by leveraging web scraping and string matching techniques to identify and mitigate potential risks, contributing to the security of company transactions.
📰 Conducted sentiment analysis on stock news, utilizing natural language processing (NLP) to assess market sentiment and inform investment strategies.
🖼️ Performed fraudulent check detection by extracting data from images using optical character recognition (OCR) techniques, enhancing accuracy and reducing errors in financial verification processes.

Statistical Data AnalysisMachine LearningTime Series AnalysisNatural Language Processing (NLP)Web ScrapingFraud Detection+3

Letsgrowmore

Data Analyst

Sep 2021 – Oct 2021 · 1 mo · India · Remote

Worked with Data Science Projects like:
Iris Flower Classification: Developed a machine learning model to classify iris species using
supervised learning techniques, achieving high accuracy in predicting flower types based on
petal and sepal measurements.
Stock Market Prediction and Forecasting: Applied time series analysis and machine learning
algorithms to predict stock market trends, enhancing forecasting accuracy and helping to inform
investment decisions.
Music Recommendation Systems: Designed and implemented a recommendation system using
collaborative filtering techniques, providing personalized music suggestions based on user
preferences and behavior.
Image to Pencil Sketch: Built an image processing model to convert digital images into pencil
sketches using computer vision techniques, showcasing proficiency in image manipulation and
artistic transformations.

Machine LearningData ScienceTime Series AnalysisImage Processing

The sparks foundation

Data Science & Business Analytics intern

Mar 2021 – Mar 2021 · 0 mo · Singapore, Singapore

As a Data Science & Business Analytics intern, I was given multiple tasks to work on, starting with Supervised Machine Learning to Data visualization. At the Sparks Foundation, I understood how different aspiring Data Scientists thought, which gave me a lot more conceptual clarity. Thanks to TSF, I was also able to improve my skills not only in the field of Data Science but also in teamwork.

Klm axiva finvest ltd.

Student Intern

May 2019 – May 2019 · 0 mo · Kochi, Kerala

Teamwork has many sides like a dice. Most of us learn to look at a mere utopian reference of this particular term. Working with KLM made me understand that teamwork is not only about working together to achieve something but rather to work together to learn something new from each other. My principal activities included:
Compiled and analyzed reports of the company.
Provided clerical support to other departments- IT and Accounts.
Client relations- helped customers with their quires.