Field Supervisor Resume

SUMMARY:

A talented Data Analyst graduate wif proven statistical analysis, machine learning, and database management skills. Proficient wif the prevailing analytical tools to perform the data driven modeling, gathering and cleaning data, exploratory analysis, implementing statistical models and ML algorithms, error analysis, and presenting the findings.

TECHNICAL SKILLS:

R / R Studio
Python (Data Science)
Confidential
S - Plus
Python Programming (Beginner)
MYSQL Workbench
Data Visualization
Linux (Basics)

PROFESSIONAL EXPERIENCE:

Confidential

Field Supervisor

Responsibilities:

Kings County house sale raw data collected from Kaggle to predict the House Price and major factors by using Analytical tool R / R Studio.
Import the raw data and apply pre-processing and data preparation techniques to clean raw datasets by eliminating the missing values and outliers and create analytic datasets.
Conduct comprehensive statistical analysis and perform graphical analysis, data normalization, correlation matrix and linear regression analysis.
Data split into training and testing data sets for analysis and apply 3 machine learning algorithms: K Nearest Neighbour (KNN), Decision Tree, and Logistic Regression.
Use KNN wif split and K Fold Cross validation to perform prediction over training and testing data.

Confidential

Field Supervisor

Responsibilities:

Design the Recommender System to recommend movies based on the watched movies by using Python (Anaconda).
Data loaded, preprocessed and analyzed using Rapid Miner.
In Python import the Pandas, Sklearn, Numpy and Matplotlib libraries and upload the processed data to Python.
Mapping relational matrix between users, movies and ratings using pivot table.
Use cosine similarity functionality on matrix to find user correlation.
Data split into training and testing data sets by using random splitting (80:20) and also use K fold cross validation.
Rating prediction for the recommended movies to the user.

Confidential

Field Supervisor

Responsibilities:

Statistical Analysis research undertook to predict the Price of Glod by using the analytical tool S+.
Data collected from Federal Reserve Bank of St. Louis and upload data on S-Plus for analysis.
Plotting the various charts showing relation wif price and other selected independent variables.
Correlation matrix analysis between variables, and identification of strong correlation variables.
Apply linear regression on dependent and independent variables; and calculate the model accuracy.

Confidential

Responsibilities:

Database entities and attributes identification, designing the EER diagram and logical model.
Using MYSQL Workbench create the database and tables.
Analyze the Chapin’s Films raw data, cleansed and process data using Access and SQL.
Insert and upload the extracted and validated data into the new database.
User different functions, operators and expressions to develop, manage, and improve database using MYSQL.

Confidential

Responsibilities:

Hands on experience in installation, configuration, supporting and managing Hadoop Clusters of Cloudera (CDH) Linux platform.
Hadoop Cluster capacity planning, performance tuning, cluster Monitoring, Troubleshooting.
Experience in HDFS, Hadoop map-reduce jobs, and YARN Resource Manager.
Proficient in administering Hue WebUI to create and manage user spaces in HDFS.
Installation and configuration of hadoop eco systems like Avro, Parquet, Sqoop, Pig, Hive, Impala and Flume.
Database creation using Hive and importing data in Avro and Parquet format.
Experience in importing and exporting from multiple RDBMS to Hadoop platform using Sqoop .
Optimizing performance of Hbase/Hive/Pig jobs.
Knowledge on Hbase and zookeeper.

Field Supervisor

Confidential, NY

Responsibilities:

Supervise all security and safety matters relating to both personnel and properties, including facilities and equipment.
Monitor the electronic surveillance equipment and monitoring stations installation used on the premises.
Work closely wif staff to develop safety plans for the properties.
Scheduling employees to ensure sufficient coverage of staff for all shifts wifin the facility, and writing daily work and incident reports.
Helping the senior supervisor to fulfill staff requirement and new hiring.

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