Sasi Reddyvari

AI Researcher

Bengaluru, Karnataka, India7 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in end-to-end AI/ML project delivery.
  • Proven track record in predictive modeling and generative AI.
  • Strong leadership in cross-functional collaboration.
Stackforce AI infers this person is a Data Science and AI specialist with extensive experience across telecommunications, automotive, and human capital management.

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Skills

Core Skills

Ai/mlData ScienceAutomotive Ai

Other Skills

ADAS Feature DevelopmentAIAI/ML ModelsASP.NETAWS SageMakerAdvanced AnalyticsAgile MethodologyAlgorithmsAmazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Automated ScreeningBERTBusiness AnalysisC#

About

Tech Enthusiast | Full Stack AI Engineer | Developer | Self Learner | Passion in AI Seeking challenging assignments in AI - ML - DL - Gen AI - Python in a renowned firm Functional Expertise • Statistical Modelling • Machine Learning • Natural Language Processing • Natural Language Generation • Deep Learning • Optimization Modelling Technical Skills • Advanced Statistics • Python/Scikit Learn/Pandas/Numpy • Keras/Tensorflow • NLTK/Spacy/Stanford Parser/StanfordCoreNLP • Neural networks • LLM Modelling, Ollama, Lllam3 • Multimodel LLMs • OpenAI GPT (Generative Pre-trained Transformer) • NVIDIA CUDA for GPU Acceleration • Jupyter Notebooks for Prototyping • Docker for Containerization • Git for Version Control • Langchain • Gemini, HuggingFace • AWS / Azure / Google Cloud Platform for Cloud Computing Profile Summary: • Certified Data Scientist,expertise by understanding the business requirements & developing new insights, solutions using Statistical Machine Learning models & techniques. • Expertised & capable of handling any data science project right from the scratch to till deployment in any domain, handling any kind of data i.e. structured or unstructured. • Expertised & hands on experience in all important python libraries like Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, Keras, Tensor flow, NLTK etc. • Sound knowledge in all statistical concepts, distributions, Hypothesis testing etc. • Expertised in EDA & dealing with high dimensional data& dimensionality reduction techniques like PCA, MICE methods. • Hands on experience and expertised on all regression models & classification models like Logistic Regression, SVM, K Nearest neighbours, Decision tress, Naive Bayes, k-means. My Strengths: Flexibility: To be as a full stack AI Engineer . As a data scientist, I worked & handled in all the phases right from scratch till to go in prod. Quick Learner: To learn the new methodologies, new technologies and can bring out a change by taking initiatives. To research ,grow & build team.I try my best to keep up with the advances & solve any problem statement for the expected output. Lead: Adapting new environment,bringing out a project at a smooth pace & can lead the team Problem Solver, Coder, Leader & communicator with stakeholders. '' Passion is always a greater motivating force than Intelligence.An Intelligent person will accomplish what he knows but a Passionate person will achieve what he wants to '' https://github.com/sasireddyvari, https://speech2textconversion.herokuapp.com, https://multiobjectclassifier.herokuapp.com, Love & Respect Sasi

Experience

7 yrs 1 mo
Total Experience
1 yr 5 mos
Average Tenure
1 yr 8 mos
Current Experience

Ooredoo group

Senior Manager Data Scientist

Oct 2024Present · 1 yr 8 mos · Hybrid

  • Experienced Data Scientist with a proven track record of driving business growth through advanced analytics and AI/ML solutions. Expertise in building end-to-end predictive models, generative AI implementations, and leveraging data-driven insights to optimize business outcomes across commercial, marketing, and R&D functions.
  • Key achievements include:
  • Advanced Analytics & AI/ML Models: Designed and deployed predictive models, recommendation engines, propensity models, and survival analysis using Python, R, SAS, and SQL. Integrated generative AI with LLMs, chatbots, and multimodal solutions to transform existing use cases.
  • Feature Engineering & Insights: Delivered actionable insights by applying statistical measures, ensemble modeling, and advanced visualization techniques to multidimensional datasets from varied sources.
  • Data Monetization & Customer Experience: Enhanced customer engagement and experience by developing use cases like customer 360, LTV models, segmentation, and social data harvesting for targeted communication.
  • Data Ecosystem Development: Assessed new data sources, built data monitoring frameworks, and ensured seamless integration of advanced analytics outputs into IT systems. Collaborated with technology teams to enhance platform performance and optimize vendor selection.
  • Cross-functional Collaboration: Partnered with marketing, sales, and CVM teams to implement segment-specific recommendations and improve targeting efficiencies. Worked closely with group analytics teams to align initiatives and share knowledge across OPCOs.
  • Governance & Strategy: Led governance of analytics platforms and data, ensuring compliance and enabling key insights to support strategic decision-making.
  • Specialized in delivering measurable impact through advanced analytics, data-driven strategies, and cutting-edge AI/ML innovations.
Advanced AnalyticsAI/ML ModelsPredictive ModelsGenerative AIStatistical MeasuresData Monetization+3

Randstad digital

Lead AI ML Specialist

Nov 2023Oct 2024 · 11 mos

  • Architect - Lead - Stake Holder Management - Developer
  • Human Capital Data - Employee Satisfaction:
  • 1. Predictive Analytics - Leveraging machine learning to predict candidate success and fit for specific roles based on historical hiring data and resume analysis.
  • 2. Automated Screening: Using AI to automate the initial screening of candidates, reducing time-to-hire and ensuring that the best candidates are shortlisted.
  • 3. Candidate Matching: Employed sophisticated algorithms to match candidates with job openings, taking into account skills, experience, and cultural fit using NLP, Gen AI.
  • 4. GPT:
  • Built a few GPT solutions, custom trained for improving Employee satisfaction, Health.
  • 5. Employee Retention and Engagement: Implemented Sentiment analysis using the Employee Or Human Capital Data.
  • 6. Workforce Planning and Management: Build a solution to identify the gap in current and future skills gaps within the organization to inform training and hiring strategies, paths.
  • 7. Learning and Development: Built a recommendation engine for the employees to provide learning and development courses based on individual career goals and organizational needs.
  • 8. Provided Tech Talks, Trainings to the employees for upskilling the internal peers in AI
  • GPT solutions for various clients to automate the current strategies or process.
Predictive AnalyticsAutomated ScreeningCandidate MatchingSentiment AnalysisWorkforce PlanningLearning and Development+2

Tech mahindra

Senior Data Scientist

Sep 2021Nov 2023 · 2 yrs 2 mos · Bengaluru, Karnataka, India

  • Snapshot:
  • Highly Skilled Lead/Senior Data Scientist with a proven track record of driving operational excellence, delivering innovative solutions, & providing thought leadership in predictive, generative, & modeling projects. Expert in leveraging artificial intelligence, including GAN algorithms, large language models, & data analytics & enhanced product billing systems, automate manual processes, & optimize business operations. Adept at collaborating with cross-functional teams, analyzing vast datasets, & delivering actionable insights through dynamic, real-time, & scalable models. Accomplished in reducing costs, increasing productivity, and digitizing millions of documents across diverse business verticals.
  • Key Roles & Responsibilities:
  • Drive Excellence: Execute end-to-end projects, innovate implementations, & derive insights from data.
  • Consultant: Provide thought leadership, identify required capabilities, practices, & talent.
  • Solutioning: Solve analytical problems, develop scalable models, & optimize business processes.
  • Business Solutions: Gather requirements, propose analytics roadmaps, and track progress metrics.
  • Data Analysis: Extract insights from large datasets using Python and advanced techniques.
  • Cost Optimization: Reduce expenses, streamline processes, & increase productivity.
  • Product Implementation: Lead AI-powered tool deployments, improving operational efficiency.
  • Achievements: Spearheaded efforts that significantly reduced redundant work by 90% & saved 50% of the project budget. Successfully implemented product across 25+ verticals, digitizing millions of documents and ensuring scalability across the organization.
  • Skills:
  • Predictive Modeling | Data Analysis | AI | ML | DL | Algorithms | NLP | Computer Vision | OCR | Python | R | SQL | Power BI | PyTesseract | Azure Cognitive Services | OpenAI | ChatGPT | LLM's | Data Visualization | Model Evaluation | Operational Excellence | Thought Leadership | Project Management | Cross-functional Collaboration
Predictive ModelingData AnalysisAIMLNLPComputer Vision+3

Zf group

Senior Deep Learning Engineer

May 2021Sep 2021 · 4 mos · Hyderabad, Telangana, India

  • Summary:
  • Experienced AI Engineer specializing in the Automotive domain, driving innovation and efficiency through the application of advanced technologies. Skilled in working with HDF formats, data fusion, and implementing AI solutions for automotive systems. Adept at leveraging deep learning, machine learning, and data analytics to optimize processes, enhance vehicle performance, and deliver impactful results. Proven track record in collaborating with cross-functional teams and delivering scalable solutions in the automotive industry.
  • Roles & Responsibilities:
  • ADAS Feature Development: Designing and implementing algorithms for lane departure warning, adaptive cruise control, collision avoidance, and blind spot detection.
  • Sensor Data Analysis: Analyzing radar, Lidar, camera, and ultrasonic sensor data to extract insights for ADAS implementation.
  • System Integration: Collaborating with hardware and software teams for seamless integration of ADAS components.
  • Algorithm Optimization: Fine-tuning algorithms for accuracy, real-time performance, and safety requirements.
  • Safety Compliance: Ensuring ADAS features adhere to safety standards through rigorous testing and validation.
  • Sensor Calibration: Calibrating sensors to maintain accuracy and optimal performance.
  • Documentation: Creating technical specifications and user manuals for seamless integration.
  • Collaborative Teamwork: Working with cross-functional teams to address challenges and deliver successful ADAS implementations.
  • Skills:
  • Automotive AI | Deep Learning | Machine Learning | Data Fusion | HDF Formats | Data Analytics | Autonomous Driving | Advanced Driver Assistance Systems | Sensor Fusion | Image Recognition | Object Detection | Predictive Analytics | System Optimization | Python | TensorFlow | PyTorch | Scikit-learn | Lidar | Automotive Systems | Real-time Processing | Collaborative Teamwork | Validation and Testing | Technical Documentation
Deep LearningMachine LearningData FusionADAS Feature DevelopmentSensor Data AnalysisAI/ML+1

Wipro technologies private limited, bangalore.

Data Scientist

May 2019May 2021 · 2 yrs · Bangalore

  • Roles & Responsibilities:
  • Being responsible, proactive, lead the team and innovative.
  • To build AI, ML, NLP models by understanding the business requirements and developing new apps, insights, solutions using Statistical Machine learning models and techniques.
  • Real Time Understanding of the AI & ML algorithms.
  • Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets.
  • Strong fundamentals in Object-Oriented Design and Data Structures.
  • Experience in working with the customer directly which includes initial requirement gathering, day-to-day technical discussions, technical demos, and project delivery.
  • Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications.
  • Should possess excellent oral, written, problem-solving,interactive and analytical skills.
  • Must be able to succeed with minimal resources and supervision.
  • Experience with working on Agile Software development methodology.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Knowledge of a variety of machine learning techniques ( Classsification, Clustering, Regression, Artificial Neural Networks) and their real-world advantages/drawbacks.
  • Snapshot:
  • Certified Data Scientist & handling projects right from scratch by understanding the business requirements and developing solutions. Expertise on AI, ML, Python, NLP, SQL, C#, DL, Heroku, DevOps where I worked in more than 5 different verticals by leveraging the AI , ML in
  • 1.Application Shared Services
  • 2.Quality
  • 3.Banking
  • 4.HealthCare
  • 5.HR Analytics (resume, attrition rate) & a few hands on DL projects using Neural Networks(https://multiobjectclassifier.herokuapp.com , https://speech2textconversion.herokuapp.com,
  • https://dashboardplotly.herokuapp.com)
AIMLNLPSQLC#Agile Methodology+2

Education

Birla Institute of Technology and Science, Pilani

Master of Technology - MTech — Data Science & Engineering

Sep 2021Sep 2023

Sri Venkateswara University

Bachelor of Technology - BTech — Computer Science and Engineering

May 2015May 2019

Sri Chaitanya IIT Junior College

Intermediate

Jan 2013Jan 2015

Vijaya Bharathi English Medium High School

SSC — Secondary School

Jan 2012Jan 2013

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