Santhoshi - Data Science Resume
Santhoshi Dharmireddi
Fremont, CA ? ------------ ? ------------
SUMMARY
Data Analyst with 5 years of work experience in companies like Tesla, and Seattle City Light. Very well-educated Data Scientist candidate with strong quantitative background and a thorough understanding of statistics. Well versed with Programming in Python, SQL, Excel, recommender systems, and machine learning models. Able to process new information quickly and can communicate it effectively to different audiences. Hard working and strong team player. Eager to leverage my skills in a Data Scientist role.
SKILLS
Software Skills: Python, SQL, R, Advanced Excel, AWS, Github
Quantitative and Modeling: Exploratory analysis, Dimensionality reduction techniques (principal component analysis), Recommender systems, Regression models, Frequentist hypothesis testing, Machine learning algorithms, Clustering techniques, Profit curves and Imbalanced classes
EXPERIENCE
GALVANIZE INC., Data Scientist, San Francisco, CA 05/18 – Present
Capstone Project: The goal is to build an Amazon-like recommendation system that recommends products for a given user based on their preferences and order history. I built two latent factor recommender systems using FunkSVD and ALS models respectively. Both these models use matrix factorization technique to predict the missing ratings by taking product ratings dataset as an input. I have leveraged the advantages of using AWS, S3 and EC2 services to work with big data. FunkSVD model got MSE of 0.011 and ALS model got MSE of 0.001. The dataset was 3.2GB consisting of 5 million product reviews, 2 million users. Languages: Python
Real world Case Studies: (team projects)
Churn Prediction: A team of four members worked on predicting customer retention of a ride sharing company. In this project, we’ve used cost-benefit analysis and random forest classifier techniques and achieved a precision score of 0.89 and accuracy score of 0.97
Fraud Event Detection: A team of five members worked to detect fraud events of an event-based service company. Used Random Forest algorithm to predict the fraud events
Recommender Systems: Built SVD recommender system to predict missing movie ratings. To do so, we’ve used svd model from scipy.sparse.linalg package in python.
TESLA, Analyst, Fremont, CA 03/15 – 03/18
Performed commission's analysis to find out increase or decrease in costs, in sales, and also to identify top performers
On a bi-weekly basis, ran direct energy commission model to calculate sales commissions and quarterly bonuses
Generated compensation analytics reports to make sure sales reps and executive team get paid on time
Led and mentored a small team of two junior analysts. Recruit and train new analysts
SEATTLE CITY LIGHT, Power Analyst - Risk Oversight Division, Seattle, WA 06/13– 03/15
Maintained counter-party credit risk models, gathered complex data from several internal teams, and prepared business insights reports for our directors & our CFO
Created an Excel model to conduct P&L analysis of complex power contract that resulting in $20M of additional revenue every year
Created financial model to evaluate the performance of long term power contracts
Performed exploratory (correlation) analysis between power generation and market prices using R
QUANTUM CLOTHING INDIA PVT. LTD, Industrial Engineering Executive, India 01/11–05/11
Performed operator capacity studies to identify bottlenecks in production processes
Improved production line output by 80% within 5 months
Managed employee’s schedules; presented weekly metrics to factory manager
EDUCATION
University of Washington, Seattle, WA - MS in Applied Mathematics (Computational Finance and Risk Mgmt)
GITAM University - MBA Finance and Marketing
Andhra University - BS in Electrical and Electronics Engineering
Santhoshi Dharmireddi
Fremont, CA ? ------------ ? ------------
SUMMARY
Data Analyst with 5 years of work experience in companies like Tesla, and Seattle City Light. Very well-educated Data Scientist candidate with strong quantitative background and a thorough understanding of statistics. Well versed with Programming in Python, SQL, Excel, recommender systems, and machine learning models. Able to process new information quickly and can communicate it effectively to different audiences. Hard working and strong team player. Eager to leverage my skills in a Data Scientist role.
SKILLS
Software Skills: Python, SQL, R, Advanced Excel, AWS, Github
Quantitative and Modeling: Exploratory analysis, Dimensionality reduction techniques (principal component analysis), Recommender systems, Regression models, Frequentist hypothesis testing, Machine learning algorithms, Clustering techniques, Profit curves and Imbalanced classes
EXPERIENCE
GALVANIZE INC., Data Scientist, San Francisco, CA 05/18 – Present
Capstone Project: The goal is to build an Amazon-like recommendation system that recommends products for a given user based on their preferences and order history. I built two latent factor recommender systems using FunkSVD and ALS models respectively. Both these models use matrix factorization technique to predict the missing ratings by taking product ratings dataset as an input. I have leveraged the advantages of using AWS, S3 and EC2 services to work with big data. FunkSVD model got MSE of 0.011 and ALS model got MSE of 0.001. The dataset was 3.2GB consisting of 5 million product reviews, 2 million users. Languages: Python
Real world Case Studies: (team projects)
Churn Prediction: A team of four members worked on predicting customer retention of a ride sharing company. In this project, we’ve used cost-benefit analysis and random forest classifier techniques and achieved a precision score of 0.89 and accuracy score of 0.97
Fraud Event Detection: A team of five members worked to detect fraud events of an event-based service company. Used Random Forest algorithm to predict the fraud events
Recommender Systems: Built SVD recommender system to predict missing movie ratings. To do so, we’ve used svd model from scipy.sparse.linalg package in python.
TESLA, Analyst, Fremont, CA 03/15 – 03/18
Performed commission's analysis to find out increase or decrease in costs, in sales, and also to identify top performers
On a bi-weekly basis, ran direct energy commission model to calculate sales commissions and quarterly bonuses
Generated compensation analytics reports to make sure sales reps and executive team get paid on time
Led and mentored a small team of two junior analysts. Recruit and train new analysts
SEATTLE CITY LIGHT, Power Analyst - Risk Oversight Division, Seattle, WA 06/13– 03/15
Maintained counter-party credit risk models, gathered complex data from several internal teams, and prepared business insights reports for our directors & our CFO
Created an Excel model to conduct P&L analysis of complex power contract that resulting in $20M of additional revenue every year
Created financial model to evaluate the performance of long term power contracts
Performed exploratory (correlation) analysis between power generation and market prices using R
QUANTUM CLOTHING INDIA PVT. LTD, Industrial Engineering Executive, India 01/11–05/11
Performed operator capacity studies to identify bottlenecks in production processes
Improved production line output by 80% within 5 months
Managed employee’s schedules; presented weekly metrics to factory manager
EDUCATION
University of Washington, Seattle, WA - MS in Applied Mathematics (Computational Finance and Risk Mgmt)
GITAM University - MBA Finance and Marketing
Andhra University - BS in Electrical and Electronics Engineering