Successfully worked with product owners multiple times to create predictive models from simple Linear/Logistic Regression to complex Neural Network Based predictive model using TensorFlow which aimed at increasing productivity by 20%.
Utilized ARIMA, StatModel's Seasonal Decomposer Tools on python and Recurrent Neural Networks from TensorFlow(python) to forecast on time-series data which successfully forecasted 6months worth of financial data, this helped reduce workload of Financial Planning by 20%.
Sourced Data from Multiple sources ranging from locally hosted database to cloud hosted databases on DataBricks, cleaned and transformed data while keeping business values in mind. This helped to maintain business vision throughout product development.
Successfully created production level products using PowerBI which is currently being utilized by multiple business sectors.
Utilized Pyspark library for huge enterprise data.
Technology Support/Residential Assistant
Carolina University
03.2022 - 03.2023
Developed feedback mechanism to ensure customer satisfaction following support engagement and problem resolution, which helped improve overall customer experience.
Used Structured Query Language and Azure to update and maintain company's database.
Promoted and sustained organic leadership by maintaining positive peer-leader relationships and supporting goals of each resident.
Devoted particular emphasis to punctuality and worked to maintain outstanding attendance record.
Data Visualization Analyst
Federal Airports Authority(FAAN)
11.2020 - 06.2021
Visualized data for Advertisement using matplotlib, plotly, seaborn, ggplot, etc which optimized critical business decisions.
Used Clustering to analyze data and generate profitable business decisions.
Researched and resolved issues regarding integrity of data provided in databases, this helped in maintaining data quality.
Utilized Random Forest and Neural Networks to analyze data from partners and customers to optimize services better.
Data Analyst/Business Analyst
Diamond Bank
03.2019 - 09.2020
Made +2100% monetary increase within six months using Plotly to visualize trends that helped make significant business decisions in banking space.
Applied Pandas and Numpy packages in Python to effectively clean and optimize small to medium financial data.
Accumulated precise judgments based on visualized data using Plotly and Matplotlib.