Profile
Meet me
I have spent the last one year handling real-life analytical projects and have thus gathered experience in data collection, cleaning analysis and visualizations, generating insights that help my organization make wise business decisions.
My Expertise
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Data Analysis
(Data Entry, Collection, Cleaning, Visualization)
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Machine Learning
Experience
2023 - Present
Foodimetric
Foodimetric is an innovative e-nutrition organization dedicated to enhancing nutritional processes through cutting-edge technology. Our offerings include a comprehensive food composition database, an intelligent nutrition chatbot, and various technological solutions designed to improve nutritional outcomes
Accomplishment
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Extracted data from APIs, databases, websites, and other relevant sources, enhancing data collection efficiency by 30%.
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Pre-processed data using tools like Power Query and Pandas, removing duplicates and handling missing values, resulting in a 20% increase in data quality.
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Conducted data transformation, normalization, and feature engineering with tools such as Excel, Power Pivot, and Python libraries, improving data preparation speed by 30%.
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Performed exploratory data analysis (EDA) using tools like Microsoft Power BI, Tableau, and Python libraries, uncovering key insights that informed strategic decisions.
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Improved database efficiency by optimizing SQL queries, reducing query time by 50%, and enhancing overall system performance by 25%. Optimized hyperparameters of a neural network using Bayesian optimization, achieving a 10% improvement in accuracy compared to manual tuning, leading to more reliable predictions.
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Collaborated with cross-functional teams to identify and prioritize data needs, resulting in a 25% improvement in data accessibility and usability across departments.
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Conducted research on state-of-the-art ML algorithms and applied cutting-edge techniques to improve model performance by 15%, significantly increasing prediction reliability.
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Developed a predictive model that improved customer churn prediction accuracy by 10%, leading to a 5% reduction in customer attrition and increased retention rates.
June 2023- Jan 2024
Farmspeaks Technology Limited
​Farmspeaks is an Agrictech organization that provides IoT devices to farmers, enabling them to monitor and regulate key environmental parameters such as temperature, humidity, and other vital conditions around their livestock. These advanced solutions help farmers ensure optimal living conditions for their birds, promoting better health and productivity.
Accomplishment
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Designed and implemented instruments for surveys, tests, interviews, and checklists, enhancing data collection efficiency by 30%. Performed data pre-processing using Excel and Python libraries (Pandas), resulting in a 20% reduction in data processing time. Conducted data transformation, normalization, and feature engineering with tools such as Power Query and Python libraries (Pandas, NumPy) to prepare the data for analysis and modeling, improving data readiness by 35%.
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Performed exploratory data analysis (EDA) using tools like Microsoft Power BI and Python libraries (Pandas, Matplotlib, Seaborn) to gain insights and identify patterns in the dataset, leading to the discovery of actionable insights.
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Developed and maintained interactive Power BI dashboards to track key performance indicators, facilitating data-driven decisions that improved reporting speed by 40%
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Presented the discovery of insights and proposed recommendations, resulting in a strategic shift that increased project approval rates by 15%.
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Collaborated with the marketing team to analyze customer behavior, leading to a targeted marketing campaign that achieved a 25% higher conversion rate.
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Collaborated with cross-functional teams to identify key performance indicators (KPIs) and established a dashboard to track them, leading to a 25% improvement in operational efficiency.
Tools
Microsoft Excel
Microsoft Power BI
SQL
Python
Microsoft Power Point
Microsoft Word