Result driven Data Analyst with expertise in translating business needs into functional requirements along with customer success management and delivering innovative solutions. Proven ability to work collaboratively with diverse stakeholders to drive successful project outcomes. A proactive problem solver with a keen eye for identifying business opportunities and an interest in understanding business models across sectors.Programming Language: PythonPackages: NumPy, Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn Visualization Tools: Tableau, Power BI, Advanced Excel (Pivot Tables, VLOOKUP) IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Database: MySQL,SQL, Cloud Technologies: Amazon Web Services (AWS) Methodologies: SDLC, Agile, Waterfall Tracking Tools: Jira, Microsoft Visio Other Technical Skills: Advance Analytics, Data Mining, Data Visualization, Data warehousing, ETL Processes, Data Integration, Data transformation, Association rules, Clustering, Report Generation, Regression, A/B Testing, Forecasting & Modelling, Data Cleaning, Regression, Hypothesis Testing, Time Series Analysis, Data Wrangling, Critical Thinking, Communication Skills, Presentation Skills Version Control Tools: Git, GitHub Operating Systems: Windows, LinuxAs a Data Analyst at CropBytes, I generate actionable insights and drive strategic decision-making using data analysis, visualization, and machine learning. I collaborate with cross-functional teams, communicate effectively with stakeholders, and deliver high-quality results. Some of my notable achievements include increasing the user retention rate by 25%.