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Konda - Data Scientist

[email protected]

Location: Kyle, Texas, USA

Relocation: Anywhere

Visa: H1B

Results-oriented Data Analytics/Scientist/Engineering and Market/Competitive Intelligence Professional with over 10 years of experience in designing, implementing, and optimizing data pipelines, conducting advanced analytics and intelligence studies, statistical modeling, and developing machine learning models. Proficient in utilizing big data technologies, statistical techniques, cloud platforms, and visualization tools including Python, R, SQL, Power BI, and Tableau. I leverage my academic knowledge of economics and practical expertise in predictive analytics, machine learning, market/competitive intelligence, and econometric and statistical modeling to provide data-driven business insights, opportunity analysis, and recommendations that align with the company's strategic and operational goals. PROFESSIONAL EXPERIENCE Epitomsoft, Texas Analytics Specialist 05/2024 Present Conduct comprehensive data analysis and interpretation, informing executive-level decision-making. Provide actionable insights through advanced data analysis and predictive modeling, supporting strategic business initiatives. Develop and maintain business intelligence dashboards, improving data visibility and accessibility. Conduct data cleaning, transformation, and analysis using Python and SQL to support various business tasks. GlobalData Analytics & Insights Manager 02/2018 09/2023 Gather and understand business requirements, then design solutions for internal and external clients using predictive analytics and machine learning algorithms with open-source technologies like Python and R. Collaborate with cross-functional teams to define data requirements, enhance data quality, understand business needs, and convert them into data-driven solutions. Independently work on and lead the planning and implementation of high-profile data analytics and market/competitive intelligence assignments, ensuring they align with company business objectives. Utilize big data to identify patterns and address strategic analytic business challenges using Databricks Spark-enabled environments. Enhanced database performance and reduced query time by 40% through indexing and query optimization. Employ a wide range of analytical techniques and tools, from simple approximations and what-if scenarios to in-depth analyses, to uncover patterns in large datasets and identify trends and opportunities. Perform A/B testing and statistical analysis to guide business decisions and product improvements. Developed ETL (Extract, Transform and Load) pipelines using Azure Data Factory, resulting in a 25% increase in overall workflow efficiency. Use AWS and Azure platforms for data migration, storage, transformation, processing, and analysis. Conducted exploratory data analysis (EDA) to understand data distributions and relationships. Data cleaning and storing of both structured and unstructured data in internal SQL database servers. Leverage industry influencers data to develop sentiment analysis model aiding in new product development and improving sales and marketing strategies. Created data visualizations and dashboards with tools such as Power BI and Tableau to communicate findings to key business stakeholders. Other responsibilities include of: Manage a team by recruiting members, monitoring their performance regularly, and providing necessary functional and technical training. Collaborate with product, sales, and marketing teams to identify data-driven decisions that increase conversion rates, thereby helping the team improve their conversion rates. Conduct customer segmentation and analysis of internal clients based on cumulative historical usage of intelligent center platform products. Support and enhance existing predictive models for marketing and sales forecasts, subscription retention, and micro-segmentation. Prime Technology Group (Excellarate) Research & Analytics Manager 06/2015 - 10/2017 Analyzed large datasets to identify trends, patterns, and insights that support business strategy. Designed and implemented scalable data pipelines using Apache Spark, resulting in a 30% increase in data processing efficiency. Developed and deployed machine learning models to predict customer churn, leading to a 15% increase in retention rates. Designed and Executed RESTful APIs for data retrieval, resulting in a 25% improvement in response time. Designed, implemented, and validated new predictive modeling applications using tools like R, Python, SQL, and Tableau. Conducted statistical analysis to support product development and innovation, contributing to the successful launch of new products and identifying new business opportunities. Established strategy dashboards and charts that compile multiple strategies and market and user insights, improving data visibility by 50%. Collected and preprocessed data to explore, train, or retrain models to solve domain-specific problems and provide solutions. Cleaned and stored structured data in databases, writing SQL queries for data extraction and management. Analyzed data from multiple sources (e.g., CRM, web analytics and other sources) to identify opportunities for new products and services. Applied NLP techniques to analyze customer feedback and improve product features. Developed a real-time recommendation engine to rank sales and marketing leads for upsell opportunities. Butler America (HCL Technologies) Senior Analytics Consultant 09/2010 - 05/2015 Collaborate seamlessly with business leaders, subject matter experts, technical teams, and marketing and sales teams to leverage knowledge for thought leadership, strategy, business insights and development, and client decision-making. Interact with global clients to understand business challenges and devise appropriate analytics and business solutions. Work closely with research and analytics counterparts to foster a collaborative, entrepreneurial, and forward-thinking team environment. Executed complex SQL queries to analyze customer data, resulting in a 35% increase in actionable insights. Provide regular updates to internal databases and maintain the corporate-wide CRM platform, ensuring high-quality data collection and management. Create Salesforce sales and marketing present and future pipeline analytical reports based on past data to facilitate the closure of business deals. Identify hidden patterns or systematic risks using qualitative and quantitative data analysis. Build and improve dashboard reporting to help stakeholders understand the performance of their business segment and identify action points. Developed a real-time analytics dashboard to monitor key performance indicators (KPIs) of business performance. Enable stakeholders to make data-driven decisions with up-to-date information by undertaking research and competitive intelligence initiatives. Partner with onshore business units in data collection, creating intelligence decks, and analytical reports. GlobalData Analytics Consultant 10/2008 - 06/2010 Gather industry/function-specific market and business information using internal and external data sources, preparing data and analytical reports, competitive intelligence snapshots, and other information databases. Research, develop, and implement new methods for measuring and analyzing data sets and processes. Apply statistical and analytical techniques to transform unstructured data into a structured format. Design data and forecasting models to address key business questions and challenges. Generate data-driven reports through automation, resulting in a 40% increase in overall sales volume. Prepare databases of market, competitive and country indicators. Collaborate with clients to better understand business challenges and develop data-driven solutions to improve decision-making. Create visualization reports to uncover hidden data patterns and deliver actionable insights. Frost & Sullivan Analytics Associate 06/2006 - 10/2008 Collaborated with internal and external stakeholders to create data-driven reports within the Economic/Econometric research and analytics team. Utilized data and analytical insights to identify trends, emerging technologies, competitive landscapes, and growth opportunities across various industry verticals. Designed, developed, and maintained databases to support forecasting models and data analysis efforts. Developed and implemented methodologies for collecting and analyzing market data, including customer and market surveys, focus groups, and business insight reports. Designed and implemented data models, performed statistical analysis, and created predictive models for economic indicators databases. Coordinated with business and industry experts to conduct research and analyze collected data, producing economic forecast reports for various economic indicators. Partnered with clients on ad-hoc consulting projects to develop meaningful interactive forecast models and insights, aiding them in making key strategic decisions during growth and expansion cycles. EDUCATION Master s degree in Economics University of Hyderabad, India TECHNICAL SKILLS Programming tools: SPSS, SAS, R, Python, Databricks, Apache Spark, Airflow, Alteryx, SQL, Snowflake Machine Learning & AI: Scikit-learn, TensorFlow, Keras, NLP, Gen AI, PyTorch, XGBoost, Random Forest, Clustering, Regression analysis. Databases: MySQL, PostgreSQL, MongoDB, AWS Redshift, Azure SQL Database Data analysis and visualization tools: Pandas, NumPy, Matplotlib, Seaborn, ggplot2, Tableau and Power BI Cloud Platforms and tools: AWS, Azure, GCP CRM tools: Salesforce, Dynamics 365 Business databases: Gartner, Forrester, Hoovers, Dun & Bradstreet, Factiva, Reuters, InsideView and others CERTIFICATIONS Microsoft Certified Azure Data Scientist Microsoft Certified Azure Data Engineer Certified Base SAS Programmer PERSONAL SYNOPSIS Analytical problem-solver, effective communicator, curious, adaptable learner, and collaborative team player Strong people, client, and project management skills Ability to manage multiple projects and meet deadlines under pressure Languages known: English and German Keywords: artificial intelligence business intelligence active directory rlang