Interco

Lead a dynamic team of six professionals encompassing software development backend experts and data analysts.

Spearhead the design and execution of robust data solutions, aligning them with organizational objectives.

Formulate and execute data strategies, optimizing data assets for effective decision-making.

Establish and enforce data governance practices to ensure data security, quality, and compliance.

Foster innovation by integrating emerging data technologies into the architecture.

Collaborate cross-functionally to deliver data-driven insights, driving business growth through seamless teamwork and leadership.

Lead Data Engineer 

Lead the design and maintenance of data pipelines, prioritizing data quality, reliability, and scalability.

Develop and implement ETL processes to efficiently transform and integrate data.

Collaborate cross-functionally to deliver actionable data insights for informed decision-making.

Utilize advanced technologies to optimize data storage solutions and enhance data engineering efforts.

Drive innovation in data engineering practices to empower the organization's data-driven initiatives.

Data Engineer

Actively contribute to the design and maintenance of data pipelines, gaining hands-on experience in ensuring data quality, reliability, and scalability.

Assist in the development and implementation of ETL processes, learning to efficiently transform and integrate data.

Collaborate closely with team members to support the delivery of valuable data insights, contributing to informed decision-making.

Gain exposure to cutting-edge technologies used to optimize data storage solutions and enhance data engineering practices.

Embrace a learning mindset, actively seeking opportunities to innovate and contribute to the organization's data-driven goals.

Data Engineer Intern

Freelance | Self Employed

Developed custom machine learning models tailored to the sports industry, optimizing player performance analysis and team strategies.

Conducted comprehensive sports analytics, leveraging data to provide actionable insights for teams, coaches, and athletes.

Utilized advanced statistical techniques to predict player performance, injury risk, and game outcomes, enhancing decision-making.

Collaborated closely with sports organizations and athletes to customize analytics solutions to their unique needs.

Delivered data-driven reports and visualizations that facilitated improved player development and game strategies.

Demonstrated strong communication skills, translating complex data insights into actionable recommendations for clients in the sports industry.

Freelancer

ProcPal

Hats.AI

Designed and developed advanced machine learning models specifically tailored for the advertising sector.

Achieved measurable improvements in ad targeting and engagement through predictive algorithms.

Leveraged AWS infrastructure to manage data pipelines, ensuring scalability and reliability.

Proficient in deploying machine learning models on AWS, facilitating seamless integration into ad campaigns.

Contributed to data-driven decision-making processes, enhancing the overall success of advertising initiatives.

Demonstrated a commitment to innovation and a results-driven approach in the field of advertising and machine learning.

Data Scientist

Bitbroker Labs

Conducted comprehensive financial analysis on various cryptocurrencies, with a primary focus on Bitcoin, to inform investment and trading strategies.

Developed and implemented machine learning models to analyze market trends, price volatility, and risk factors associated with different cryptocurrencies.

Utilized historical and real-time data to create predictive models for Bitcoin and other digital assets, enhancing decision-making processes.

Employed statistical analysis and data visualization techniques to identify key insights and patterns in cryptocurrency markets.

Data Science 

Data Engineer who's quite relentless about Data Engineering and prediction, started learning things on my own and a huge fan of Sports analysis.
Machine learning and Data Engineering.
Language- Python, SQL 
Libraries - Scikit-learn, Matplotlib, Numpy , Plotly, Keras, Tenserflow, Spark, Bokeh 
Platform- Spyder, Jupyter, Tableau, BI, Data Studio

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