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Strategic data and analytics leader with over 8 years of progressive experience in data engineering, BI platform modernization, and crossfunctional stakeholder collaboration. Proven track record leading high-impact data warehouse and dashboard initiatives across government and fintech sectors. Skilled in building scalable pipelines, managing analytics teams, and delivering business intelligence solutions using Power BI, Tableau, SQL, and Python. Trusted to translate business needs into secure, compliant, and high-performance data environments.

Data Engineering and Applied AI professional with 10+ years of experience in designing and deploying cloud-native data and ML platforms. Proven expertise in building scalable, production-grade solutions using AWS, Python, and ML-Ops frameworks, with a strong focus on automation, efficiency, and reusability. Adept at bridging the gap between engineering and AI innovation, with hands-on experience in data pipeline orchestration, ML model deployment, and real-world solution delivery across diverse enterprise use cases. Known for rapid learning, adaptability, and consistently delivering high-quality outcomes at scale. Passionate about transforming data into strategic insights through robust engineering, smart automation, and scalable architectures.

Overall, 5+ years of experience in Data Science and Big Data in the Business Industry with adept knowledge of Data Analytics, Machine Learning (ML), and Predictive Modeling. Machine Learning and Computer Vision expert with experience in image processing and analysis. Proven track record in developing and optimizing computer vision algorithms and ML models. Skilled in refining ML models to improve accuracy and collaborating with cross-functional teams to integrate AI/ML features into applications. Specialized in Text Analytics, developing Statistical Machine Learning and Data Mining solutions using R, Python, and Tableau. Proficient in Data Analytics, including Data Reporting, Ad-hoc Reporting, and OLAP reporting. Strong command over SQL, with experience in RDBMS (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Skilled in using Spark MLlib utilities for machine learning tasks and various visualization tools like Tableau, SAS, QlikView, and Microsoft BI. Expertise in operations research techniques, mathematical programming, heuristic algorithms, and stochastic modeling. Hands-on experience in designing optimization models using Python and relevant packages such as PuLP, PYOMO, and CVXPY, with proficiency in CPLEX. Well-versed in TR components and NESS requirements into scalable analytical models, working with Hadoop ecosystem components, and designing captivating visualizations using Tableau. Knowledgeable in various machine learning algorithms and techniques, including Reinforcement Learning, LDA, Naive Bayes, Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, and neural networks.

Innovative System Analyst with over 3.5 years of experience in Automation and Digital Transformation, currently serving as an Analyst in the AI & Automation Hub. Skilled in SQL, RPA technologies, and ABBYY OCR, I excel at designing and implementing robust automation solutions that drive operational efficiency. My expertise spans extracting complex data from various formats, enabling informed decision-making through data-driven insights, while enhancing processes to adapt to evolving business needs. Committed to continuous learning and leveraging cutting-edge tools like Uipath, Power BI, and advanced Excel, I am eager to contribute my analytical skills to projects centered around Data Analytics and Artificial Intelligence, fostering impactful change in fast-paced environments.

Mayank Kapri

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Twerlo AI

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Software Engineer

Software Engineer

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Computer Sciences

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Twerlo AI

Software Engineer

Software Engineer

Software Engineer

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10 + 2 -

Computer Sciences

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