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    Arpit Sisodia

    Researcher & Consultant in AI/ML - Mentor - Teacher - Inventor - guide at magniwattenergies.com/

    Professional Background

    Arpit Sisodia is a highly accomplished Data Scientist with over eight years of extensive experience in delivering sophisticated business solutions through the power of statistical modeling, machine learning, and big data technologies. His career has been marked by a multitude of successful analytics projects across various industries, including Ad-Tech, Banking, Insurance, E-Commerce, Retail, Automobiles, Pharma, and Industrial Motor and Drives. This diverse cross-industry experience has equipped Arpit with a unique perspective and an innovative mindset, enabling him to develop cutting-edge data science solutions that are tailored to meet specific business needs.

    Beginning his career as a Software Engineer at Accenture, Arpit quickly transitioned into the field of data science, identifying and leveraging the potential of data analytics in driving business decisions. His journey has seen him climb the ranks from being a Data Analyst and Manager at Times Internet, where he honed his analytical skills and cultivated his expertise in the digital realm, to becoming the Lead Data Scientist at ABB. In this pivotal role, Arpit was instrumental in leading complex analytics projects that significantly enhanced business operations and decision-making processes.

    In his most recent position as a Senior Data Scientist at Ericsson, Arpit has further cemented his reputation as a leader in the field of data science. He utilizes his vast skills in machine learning and statistical analysis to solve intricate problems and deliver actionable insights that empower organizations to make informed decisions. His commitment to continuous learning and development is evident in his approach to data science, where he consistently seeks to incorporate the latest advancements and best practices into his work.

    Education and Achievements

    Arpit Sisodia's academic background is a solid foundation for his thriving career in data science. He earned his Bachelor of Technology (B.Tech.) degree in Computer Science from Uttar Pradesh Technical University, where he built a comprehensive understanding of computer systems and technologies. Furthering his education, Arpit pursued a Post Graduate Diploma in Management (PGDM) with a dual major in Business Analytics and IT-Operations from the esteemed Great Lakes Institute of Management, where he achieved a commendable GPA of 3.2 out of 4. This academic experience not only enriched his knowledge in analytics but also provided him with critical insights into management practices.

    Arpit's pursuit of knowledge didn't stop there; he further enhanced his skills by obtaining a Post Graduate Diploma in Applied Statistics (PGDAST) from the Indira Gandhi National Open University (IGNOU). His education in applied statistics has fortified his analytical capabilities, allowing him to effectively apply statistical methods to real-world problems in various industries.

    Arpit's commitment to his professional development is reflected in his diverse skill set. He has mastered various programming languages and tools essential for data analysis and modeling, including Python, R, Scikit-Learn, Numpy, Pandas, Keras, and TensorFlow. In addition, he is well-versed in R packages such as h2O and various software like Weka, SPSS, and Gretal, which further enhance his analytical prowess.

    Achievements

    Throughout his career, Arpit has achieved significant milestones that highlight his expertise and dedication to data-driven solutions. His work encompasses a broad range of machine learning techniques, statistical models, and methods that demonstrate his comprehensive knowledge in the field. His experience with anomaly detection methods, including K-means and KNN, as well as time series forecasting techniques (ARIMA, ETS, LSTM), illustrates his proficiency in tackling complex data-related challenges.

    Arpit has also gained experience in various state-based models and regression techniques, including linear and logistic regression, Ridge and Lasso regression, and ensemble modeling (such as XGBoost, Random Forest, and SVM). His impressive portfolio includes developing recommendation engines and optimization models that enhance decision-making processes across various industries. With a focus on the applicability of data science principles, Arpit employs blending, stacking, and hierarchical clustering methodologies to extract meaningful insights from complex datasets.

    His leadership roles in high-profile organizations have positioned him as an influential figure in the data science community. As a Lead Data Scientist at ABB, he contributed to major projects that resulted in significant advancements for the organization. His time as a Data Scientist at Times Internet further bolstered his profile, allowing him to work on innovative projects that positioned the company as a leader in the digital landscape.

    Arpit’s work has not gone unnoticed in the industry, as he continues to build a reputation for delivering high-quality data solutions that drive measurable business results. His ambition to learn and grow keeps him at the forefront of technological advancements in data science, making him a valuable asset to any organization he is part of.

    In conclusion, Arpit Sisodia embodies the ideal blend of technical skill, strategic thinking, and industry experience. As a highly qualified Data Scientist, he not only brings a wealth of knowledge to his roles but also an unwavering passion for harnessing the power of data to create innovative solutions. Whether he is working individually or leading a team, Arpit is dedicated to advancing the field of data science and contributing to the evolution of data-informed decision-making across various industries.

    Related Questions

    How did Arpit Sisodia develop his expertise in machine learning and data analytics?
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    How did Arpit Sisodia transition from being a Software Engineer to a Senior Data Scientist?
    What innovative data science solutions has Arpit Sisodia implemented in the E-Commerce sector?
    How does Arpit Sisodia stay updated with the latest trends in data science and analytics?
    Arpit Sisodia
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    Location

    Bangalore Urban, Karnataka, India