| Data Scientist - Dinesh Kondeti at Remote, Remote, USA |
| Email: [email protected] |
| From: Rohit, Rcube [email protected] Reply to: [email protected] Dinesh Kondeti [email protected] 737 304 7465 SUMMARY Experienced Data Scientist with 4 years of expertise in data analysis, machine learning, and predictive modeling. Achieved a 40% improvement in predictive accuracy for product demand forecasting through the implementation of advanced data science techniques. Proficient in Python, R, SQL, and cloud platforms like AWS and GCP. Capable in developing and deploying data-driven solutions that enhance operational efficiency and drive strategic decision-making. TECHNICAL SKILLS Data Visualization Tools: Power BI, Tableau, Microsoft, Alteryx, Matplotlib, Seaborn Programming Languages: Python, R, Java Operating Systems and Scripting: Unix, PowerShell Big Data and Cloud Platforms: Hadoop, Apache Spark, AWS, GCP, Up Cloud, Spark Data Engineering and ETL: Apache Beam, Airflow, Data Mining Databases: PostgreSQL, Microsoft Database, Oracle, Data Bricks, SQL on Google Cloud, SAP HANA, MySQL, SQL, NoSQL Statistics and Machine Learning: ANOVA, Descriptive Advance Statistics, Analysis of Time Series, Bayesian Statistics, Supervised Learning, Deep Learning Natural Language Processing PROFESSIONAL EXPERIENCE Alcon TX, USA Data Scientist June 2023 December 2023 Technologies: Shell scripts, Python (pandas, NumPy, scikit-learn), data pipelines, supervised/unsupervised learning, Excel, SQL, scripting Spearheaded the development and execution of comprehensive data pipelines, leveraging shell scripts and Python libraries, resulting increase in data processing efficiency. Applied supervised and unsupervised learning techniques including regression, classification, and clustering, leading to a 25% improvement in predictive accuracy for product demand forecasting. Analyzed complex datasets utilizing Excel, SQL, and scripting languages to derive actionable insights, contributing to reduction in operational costs. Translated business requirements into data-driven prototypes, driving a increase in revenue through the implementation of targeted marketing strategies. Employed advanced data science techniques to solve intricate problems, resulting reduction in customer churn rates and a 20% increase in customer satisfaction scores. Broadridge Financial Services Bangalore, India Data Scientist December 2020 April 2022 Technologies: NLP, statistical learning, scripting (Python, R), hypothesis testing, statistical techniques, data visualization, shell scripting Implemented NLP methods such as text categorization, named entity recognition, and sentiment analysis to enhance transactional data extraction efficiency, resulting reduction in processing time. Developed and deployed data solutions utilizing statistical learning techniques, leading to increase in accuracy and alignment with business goals. Automated manual data processes using Python and R scripting languages, resulting in a 30% reduction in operational costs and increase in productivity. Validated the effectiveness of new features through A/B testing, employing many statistical techniques to uncover data patterns and relationships, contributing to improvement in customer satisfaction. Crafted user-friendly interactive dashboards with Matplotlib, Seaborn, and Tableau, empowering non-technical stakeholders and fostering a 50% increase in data-driven decision-making across departments. Abbott Technologies Bangalore, India Process Analyst Intern June 2019 May 2020 Pioneered efficiency enhancements by identifying process inefficiencies, boosting processing capacity, and revolutionizing workflows. Spearheaded cross-functional collaborations to revamp existing processes, resulting in a 20% increase in overall operational efficiency. Engineered active strategies with risk management teams, diminishing financial risks associated with taxes and fixed assets. Executed comprehensive financial performance analyses utilizing key metrics such as Fixed Asset Turnover, ROA, and Tax Efficiency Ratios, driving informed decision-making and optimizing tax management techniques. PROJECTS Crypto Currency August 2022 December 2022 Constructed a model optimizing investors exit strategies, achieving a 15% increase in profit potential using Average True Range (ATR) for precise stop loss and take profit levels. Engineered features for effective feature selection, employing statistical techniques to enhance model inputs and boost prediction accuracy by 25%. Created and deployed an XGBoost model, reducing processing time by 30% and enhancing efficiency in market trend analysis and prediction. Applied performance metrics, resulting in a 20% improvement in model validation scores and a 10% reduction in forecast error rates. EDUCATION Master of Science in Business Analytics The University of Texas, Dallas May2022 May 2024 Bachelor of Business Administration Acharya Bangalore Business School CERTIFICATIONS July2017 September 2020 Earned Power BI PL-300 certification. Attained SQL Fundamentals certification. Achieved Azure 400 certification. Completed GCP Architecture certification. Keywords: business intelligence rlang procedural language Texas Data Scientist - Dinesh Kondeti [email protected] |
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| Thu Jul 18 19:04:00 UTC 2024 |