Data Analyst
Summary
Experience:
Tata Consultancy Services Ltd., Chennai.					
Aug 2020 to Sep 2022.
Assistant System Engineer.
Role:
Supported the lifecycle of data products from conception to deployment, analyzing data sources and structures to align products with business requirements effectively.
Actively contributed to agile workflows by leading daily stand-ups and facilitating stakeholder workshops, enhancing collaboration among internal teams and external partners.
Established strong working relationships with business and technology teams to ensure alignment with data product roadmaps, enhancing workflow efficiency and project coherence.
Created interactive Power BI dashboards to visualize key business insights, enabling data-driven decision-making for stakeholders.
Utilized SQL to transform and process data into optimized formats, enhancing data retrieval speed and improving overall system performance.
Executed rigorous testing and debugging of modules, ensuring optimal functionality and reducing issue resolution time through proactive troubleshooting.
Prepared comprehensive UTCs (Unit Test Cases) and UTRs (Unit Test Reports) for system enhancements, ensuring compliance with business requirements and reducing post-implementation errors by 25%.
Achieved client recognition for successfully implementing the new trade authorization process for New York settlements, managing significant turnover requirements, and introducing an innovative testing documentation pattern that improved clarity and compliance.
Expectations
Im looking for a role where I can leverage my data analysis skills to support meaningful decision-making and work closely with cross-functional teams. I enjoy roles that challenge me to think critically about data, collaborate with stakeholders to understand their needs, and translate technical insights into actionable strategies. Im also looking for an environment that encourages continuous learning and development in areas like data technologies and business intelligence, so I can continue growing as a professional and make a measurable impact in my work.
Employment Preferences
Relocation destinations:
- London, England, United Kingdom
- Manchester, England, United Kingdom
Expected Base Salary
**,000 GBP
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Keras
- Scikit-Learn
- SQL
- Jupyter Notebook
- Spyder
- Google Colab
- Microsoft Excel.
- Probability
- Statistics
- Distributions
- Regression Techniques
- Hypothesis Testing
- ANOVA.
- Data Cleaning
- Transformation
- Pre-processing For Exploratory Data Analysis
- EDA
- Using Pandas
- Regular Expressions
- RegEx
- Regression Models
- Decision Trees
- Neural Networks
- CNN
- RNN
- ANN
- LSTM.
- Power BI
- Seaborn.
- Certified In AZ-900-Microsoft Azure Fundamentals
- DP-900-Microsoft Data Fundamentals.
- Understanding
- Financial Markets
- Key Performance Indicators
- KPIs
- Strong Ability To Interpret Complex Data
- Derive Insights
- Make Data-driven Decisions.
- Excellent Interpersonal Skills
- With Proven In Cross-functional Team Collaboration
- Support The Deployment
- Solutions Into Production .
- Adept At Identifying
- Resolving Data-related Issues With A Structured
- Analytical Approach
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