Henry S N

Backend Engineer

Calgary, Alberta, Canada2 yrs 10 mos experience

Key Highlights

Expert in Data Analytics and Data Science.
Proficient in Power BI and Python for data insights.
Strong background in financial services and retail industries.

Stackforce AI infers this person is a Data Analytics professional with expertise in Fintech and Retail sectors.

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Skills

Core Skills

Data AnalyticsData ScienceBusiness Analysis

Other Skills

AccountingAgile MethodologiesAnalytical SkillsData AnalysisExploratory Data AnalysisMicrosoft ExcelMicrosoft SQL ServerPower BIProcess ImprovementPythonSQLSQL Server Reporting Services (SSRS)TableauVisualization Techniques

About

Experienced Associate Consultant with a demonstrated history of working in the financial services industry and Retail industry. Skilled in Analytics, Data Science, Data Analytics, Power BI, and Python (Programming Language). Strong customer success and support professional with a Post Graduate in Data Science - focused on Data Analysis from IIIT Bangalore and Master of Business Administration - MBA focused in Marketing from Acharya Nagarjuna University.

Experience

Ratehub.ca

Data Engineer

Dec 2024 – Jun 2025 · 6 mos · Toronto, Ontario, Canada · Remote

Captal one

Data Engineer

Nov 2023 – Nov 2024 · 1 yr · Toronto, Ontario, Canada · Remote

Puter

Business Data Analyst | Research and Development

Apr 2023 – Oct 2023 · 6 mos · Calgary, Alberta, Canada · Hybrid

Qualient technology solutions uk limited

Data Analyst

Aug 2022 – Mar 2023 · 7 mos · Hyderabad, Telangana, India

Using Power BI as a reporting tool to know the Sales and Invoices at Store level, Product Brand level, Scenarios levels for the business and Python for fine tuning the data and pull out necessary insights

Power BIPythonData AnalyticsData Science

Synchrony

Associate Consultant

Feb 2020 – Jun 2022 · 2 yrs 4 mos · Hyderabad, Telangana, India

Experience in the FinTech industry analyzing financial fraud patterns with fraud data and various pointers such as geolocations, transaction velocities, patterns, transaction values, chargebacks, fraud rings etc. using data analysis, SQL and visualization techniques.

Data AnalysisSQLVisualization TechniquesData AnalyticsBusiness Analysis