Experienced Data Analyst with a knack for innovative solutions. Backed by a solid engineering and statistics background, proficient in a range of programming languages. Proven track record of actively sourcing knowledge …
Experienced Data Analyst with a knack for innovative solutions. Backed by a solid engineering and statistics background, proficient in a range of programming languages. Proven track record of actively sourcing knowledge from diverse channels, leading to a 70% upswing in project and business insights and a 40% decrease in issue resolution time. Driven by an unwavering commitment to ongoing development.
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Engineered customized plugin scripts utilizing Pandas, R script, and Pyspark for the company's Integrated Business Planning platform based on Hadoop & Hive, leading to a remarkable 40% improvement in data processing speed and analysis efficiency, ultimately empowering data-driven decision-making.
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Pioneered and managed the successful migration of legacy R scripts to Python/Pyspark, enhancing processing speed and operational scalability by 50% to effectively manage large-scale, Big Data scenarios across diverse client segments including CPG, Retail, and Service industries.
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Revamped and optimized critical plugin scripts, resulting in a 70% increase in overall operational efficiency.
Engineered customized plugin scripts utilizing Pandas, R script, and Pyspark for the company's Integrated Business Planning platform based on Hadoop & Hive, leading to a remarkable 40% improvement in data processing speed and analysis efficiency, ultimately empowering data-driven decision-making.
Pioneered and managed the successful migration of legacy R scripts to Python/Pyspark, enhancing processing speed and operational scalability by 50% to effectively manage large-scale, Big Data scenarios across diverse client segments including CPG, Retail, and Service industries.
Revamped and optimized critical plugin scripts, resulting in a 70% increase in overall operational efficiency.
Engineered a Web application that conducts in-depth Exploratory Data Analysis on sales data, employing a technology stack comprising Python, Flask, HTML, CSS, JS and Plotly with Postgres serving as the robust backend database, contributing to a 30% enhancement in data retrieval efficiency.
Designed a user-friendly and intuitive interface for the Web app, ensuring seamless navigation and a 25% increase in user engagement and customer experience, further enhancing its overall usability and appeal.
Achieved proficiency in Flask, Jinja2, Sqlalchemy, and React Js, effectively translating theoretical knowledge into practical expertise.
Demonstrated practical skills in developing real-time applications, utilizing these tools to deliver advanced functionalities.
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