Ankit T.

Product Manager

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Proven track record in automating workflows.
Expertise in data visualization with Power BI.
Strong analytical skills driving data-driven insights.

Stackforce AI infers this person is a Data Analyst with expertise in SaaS and data-driven decision-making.

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Skills

Core Skills

Data AnalysisData VisualizationData Cleaning

Other Skills

Adobe PhotoshopAgile MethodologiesAutomation EngineeringCAN busCascading Style Sheets (CSS)Cloud ComputingConnected CarsContinuous Integration and Continuous Delivery (CI/CD)DOIPDatabase Management System (DBMS)ExcelExtract, Transform, Load (ETL)GerritGitHTML5

About

Aspiring Data Analyst with hands-on experience in Excel, SQL, Power BI, and Python. Skilled in data analysis, visualization, data cleaning, and statistical interpretation. Proven track record in automating workflows and improving reporting accuracy. Passionate about leveraging data to drive insights and support data-driven decision-making. I am actively seeking opportunities to contribute to business growth and expand my expertise in the data analytics field.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Harman international

Graduate Engineering Trainee

Jan 2023 – Jan 2024 · 1 yr · Bengaluru, Karnataka, India · On-site

Key Responsibilities:
Developed interactive Power BI dashboards to visualize testing KPIs, including pass/fail rates, total test cases
executed, and domain-specific coverage trends.
Configured auto-refresh mechanisms in Power BI to ensure dashboards displayed the latest report data, enabling
real-time decision-making for stakeholders.
Automated workflows to extract, transform, and analyse data using Python, ensuring seamless integration and
improved reporting efficiency.
Identified trends and redundancies in datasets, optimizing coverage and deriving actionable insights.
Collaborated with cross-functional teams to present data-driven insights and align with project objectives in Agile
sprints.
Key Accomplishments:
Reduced redundancy in datasets by 40% through detailed analysis and optimization.
Automated data extraction and transformation workflows, reducing manual effort by 50%.
Enhanced reporting accuracy and visibility by integrating real-time Power BI dashboards, eliminating manual updates.
Played a key role in migrating processes to more efficient tools and workflows, improving team productivity.
Skills Gained:
Proficiency in Python for data preparation and analysis, including libraries like Pandas and Matplotlib.
Advanced knowledge of Power BI for dynamic reporting and visualization.
Strong foundation in Excel tools such as Pivot Tables, VLOOKUP, and Power Query for data analysis.
Analytical and collaborative skills to derive actionable insights from large datasets.