Narayani Patil

Associate Consultant

Seattle, Washington, United States1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven agriculture and healthcare projects.
Proficient in optimizing machine learning models for cost savings.
Strong background in data engineering and business intelligence.

Stackforce AI infers this person is a Data Science and Engineering professional with a focus on AI applications in Finance and Consulting.

Contact

narayanipatil99@gmail.com LinkedIn

Skills

Core Skills

Machine LearningAiData EngineeringData ScienceBusiness IntelligenceData Analysis

Other Skills

AnacondaAndroidAndroid StudioApache AirflowArtificial Neural NetworksAzure DatabaseCascading Style Sheets (CSS)Cloud ServicesCloud StorageConvolutional Neural Networks (CNN)Critical ThinkingCustomer Relationship Management (CRM)DBTData Build Tool (DBT)Data Mining

About

I am a results-oriented, with a strong background in AI and Data Science. My research work includes projects in AI-driven agriculture and deep learning for healthcare. This research journey continually motivates me to seek new horizons and unlock even greater possibilities in the world of data. My experience at Deloitte includes creating impactful business intelligence reports and optimizing machine learning models. I excel in system optimization and complex migrations, delivering significant cost savings. Currently pursuing a Master's in Software Engineering Systems at Northeastern University. I bring proficiency in Programming languages, Deep & Machine Learning and expertise in data tools. I am eager to connect with professionals who share a commitment to data-driven innovation. Let's collaborate and explore the exciting possibilities that data holds.

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Northeastern university

Graduate Teaching Assistant

Jan 2025 – Present · 1 yr 5 mos · Boston, Massachusetts, United States · On-site

IE 7374 - Machine Learning Operations
Working on a RAG based chatbot leveraging LangChain, LLMs, vector databases, airflow and model pipelines.
Assisting students in understanding MLOps concepts, model versioning/ deployment and operationalization.

Natixis investment managers

Data Science Engineer

Aug 2024 – Dec 2024 · 4 mos · Boston, Massachusetts, United States · On-site

Developed and productionalized end-to-end distributed data pipelines from sales, marketing, and product datasets stored in PostgreSQL, enabling leadership to make data-driven decisions through Tableau dashboards.
Optimized the performance of existing pipelines, by migrating them to DBT enhancing processing speed
Executed statistical techniques to scale a dataset containing millions of records to identify data trends & patterns.
Built Python wrappers and scripts to automate management of multiple project dependencies & Git repositories.

Deloitte

Business Technology Analyst

Sep 2021 – Jun 2023 · 1 yr 9 mos · Mumbai, Maharashtra, India · On-site

Optimized machine learning models through rigorous feature engineering and algorithm fine-tuning, achieving a remarkable reduction in error rates.
Accomplished the creation of business intelligence reports and dashboards in Dataiku DSS, contributing to a enhancement in data-driven decision-making for 500+ platform users.
Streamlined cluster server management, leading to a noteworthy 20% enhancement in overall system performance.
Spearheaded the development and implementation of a user time series model on the Dataiku platform, optimizing user management processes and reducing administrative workload.
Orchestrated the seamless migration of over 10 development projects to production for a highly valued client, ensuring minimal downtime and uninterrupted operations.
Executed comprehensive testing methodologies for server migration, resulting in enhancing operational efficiency and guaranteeing seamless functionality of new servers.

Quinnox, inc.

Intern

Dec 2019 – Jan 2020 · 1 mo · Mumbai, Maharashtra, India

Collaborated closely with innovation R&D team to re-engineer solutions using AI with aim to save 100s of man-hours.
Spearheaded the successful implementation of a Happiness app, empowering 400+ employees in Mumbai Office to track and visualize their happiness journey, resulting in a reduction in employee turnover and a boost in productivity levels.

Beacon enterprises

Data Analyst, Intern

Jun 2019 – Jul 2019 · 1 mo · Mumbai, Maharashtra, India · On-site

Utilized statistical techniques to analyze company hiring data, extracting insights to identify trends and patterns.
Developed predictive models (Regression) to forecast future hiring needs, enhancing workforce planning.