Bakar Ahmad

Data Scientist

Bengaluru, Karnataka, India4 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building analytics frameworks for product strategies.
Proven track record in improving user retention and operational efficiency.
Skilled in developing interactive dashboards for data-driven decisions.

Stackforce AI infers this person is a Data Analyst specializing in Fintech and B2C analytics solutions.

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Skills

Core Skills

Data AnalyticsBusiness Intelligence ToolsBusiness Analytics

Other Skills

Power BITableauLookerSQLdbtA/B TestingTime Series ForecastingPythonSalesforceRegression AnalysisBankConnectZoho RecruitHadopPipelinesScala

About

As a Data Analyst at FinBox, a role held since August 2024, I specialize in building analytics frameworks to inform product strategies and operational improvements. I have contributed to leadership decision-making by developing interactive dashboards using Power BI, Tableau, and Looker, while automating ETL pipelines with SQL and dbt to enhance reporting accuracy and efficiency. Additionally, I have designed time series forecasts and conducted A/B tests to validate product assumptions and support feature rollouts. My academic foundation includes a Bachelor of Commerce from Dr. Bhim Rao Ambedkar University and ongoing studies in Data Science at Masai. I am proficient in tools like SQL, Python, and data visualization platforms, which I have leveraged to deliver impactful insights. My goal is to continue driving data-led decisions and fostering innovation in product strategies to achieve meaningful business outcomes.

Experience

4 yrs 1 mo

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 10 mos

Current Experience

Finbox

Data Analyst

Aug 2024 – Present · 1 yr 10 mos · Bengaluru · On-site

At Finbox, I’ve been driving data-driven product strategy and operational improvements by building robust analytics frameworks across the product lifecycle. My key contributions include:
Developed interactive dashboards using Power BI, Tableau, and Looker to track user journeys, customer segmentation, and product KPIs, which helped leadership teams make faster, informed decisions.
Automated ETL pipelines and reporting flows using SQL and dbt, cutting down data processing time by over 30% and improving reporting accuracy.
Conducted rigorous A/B tests and hypothesis testing to validate product assumptions and support data-informed feature rollouts.
Designed time series forecasts and cohort analyses to monitor user retention trends and predict engagement metrics.
Collaborated closely with Product and Engineering teams in Agile environments, contributing to roadmap planning and ensuring analytics are embedded in every product iteration.
Integrated third-party APIs to enable real-time analytics and built cross-platform dashboards, increasing operational visibility and reducing manual reporting needs.

Power BITableauLookerSQLdbtA/B Testing+3

Uber

Business Operations Analyst

Mar 2022 – Jun 2024 · 2 yrs 3 mos · Mumbai, Maharashtra, India · On-site

During my time at Uber, I worked across operations, analytics, and business strategy to enhance rider and driver experiences, improve retention, and support leadership with decision-ready insights. Key highlights from my role include:
Led initiatives to improve user retention by 25% through onboarding funnel optimization and behavioral segmentation using SQL and Python.
Built and maintained SQL-based KPI dashboards to track operational performance across regions; these dashboards were used by city leads and executives to make data-driven decisions.
Designed churn prediction models using regression and historical cohort data, increasing forecast accuracy by 18% and enabling proactive engagement strategies.
Automated customer feedback workflows using Salesforce, cutting response turnaround time and increasing customer satisfaction scores by 15%.
Conducted competitor benchmarking and market research that supported strategic pricing and product positioning for ride categories.
Partnered with cross-functional teams including Product, Marketing, and Customer Support to translate business needs into scalable analytics solutions.

SQLPythonSalesforceRegression AnalysisBusiness AnalyticsData Analytics