Data Scientist Resume PA - Hire IT People

SUMMARY:

An experienced Data Scientist with Six (6) years of expertise in data driven research, graph analytics and deriving key insights for product development, optimization and quality improvement. An Engineering graduate with two master’s degree in nanoscience and data analytics and multiple s in data science and deep learning.

TECHNICAL SKILLS:

Domain expertise: Advanced semiconductor technology, materials science, nanotechnology, physics, quantum mechanics, machine learning and data science.

Specialization: R&D, productionalization of ideas, process optimization, operations management and product development.

Experience: Data pre - processing, data mining, feature engineering, exploratory data analysis, sentiment analysis.

Data Analytics tools: Visualization

Tableau: Object relational database system: PostgreSQL.

Machine Learning: Linear & non-linear models, dimensionality reduction techniques and neural nets.

Python libraries: TensorFlow, Keras, Scikit, Numpy, Pandas, Matplotlib, NLTK.

R libraries: Syuzhet, ggplot2, H2O, NeuralNet, Dplyr, Knitr, Likelihood.

Writing skills: Eight years of expertise in technical paper writing, documentation and presentation in meetings, conferences and journals.

Business skills: Understanding requirements of non-technical teams, formulating problem statements and translating it to the technical team for implementation.

Leadership: Cross-functional team building in start-up and academic environment with a record of efficient negotiation within groups.

PROFESSIONAL EXPERIENCE:

Confidential, PA

Data Scientist

Tools: and techniques used: R, Python, hypothesis testing, clustering, decision tree model, PCA, sentiment analysis, deep learning, exploratory data analysis

Responsibilities:

Working on deep neural networks to evaluate relative likelihood function of elementary particles in a particle physics big dataset to separate exotic particle signals from background signals which can help save large amount of power at particle accelerator facilities.
Developed hierarchical & k-means clustering and decision tree algorithms to identify the effect of crime rates across the US with the influx of immigrants.
Applied Syuzhet package in R to compare the emotional variability of William Shakespeare’s novels and identified the most common emotion and its variance over time.
Identified the scope of research on parameters influencing energy consumption of individual houses with the help of Nest sensor.
Performed hypothesis testing and developed a linear regression model in R to explore the critical variables associated with energy consumption.

Confidential, NY

Lead Process Engineer

Tools: and Techniques used: MS Excel, Optical Modelling, Exploratory Data Analysis

Responsibilities:

Modified wafer thickness measurement models for new products by identifying outliers and false positives and achieved 100 percent accurate measurements for resistive memory devices.
Led the process optimization of wafers for 3-D integration and quantum processors, through accurate measurements, identifying outliers and comparitive data analysis and obtained 99 percent reproducibility rate within 6 months of operation and implementation.
Responsible for documentation and modification of process flow charts and recipes at Materials Research Laboratory.
Mentored and trained new employees on research projects and equipment troubleshooting and helped them getting assimilated into the company culture more effectively.

Confidential, Albany, NY

Research Consultant

Tools: and Techniques used: MS Excel, Spectral Modelling, Predictive analysis

Responsibilities:

Designed process improvement projects for a cutting-edge battery technology development and performed experimentation, data collection, data visualization and qualitative analysis, and increased the life-time of Li-ion batteries by 40 percent in 6 months.

Confidential, Albany, NY

Researcher

Tools: and Techniques used: Weibull ++, Origin, Curve Fitting, Data Fitting, Inferential Analysis

Responsibilities:

Identified the reliability problem associated with new generation semiconductor devices and drafted a problem statement followed by experimentation with novel parametric control and techniques.
Found the physical mechanism of product failure by formulating new constants to fit experimental data into reliability models and interpreting reliability physics using data visualization.

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Data Scientist Resume

PA

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