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Lakshmanarao Kota

@lakshmanaraokota

DATA SCIENCE TRAINER at EDUREKA

HYDERABAD, Telangana

linkedin.com/in/lakshman9

EDUREKAHINDU COLLEGE OF GUNTUR

Lakshmanarao Kota is a Data Science and Machine Learning enthusiast skilled in finding patterns and solving business problems. He utilizes strong statistical, mathematical, and analytical skills. His experience includes training and developing content in data science, alongside practical project work in areas like fraud detection and customer segmentation.

Experience

DATA SCIENCE TRAINER

EDUREKA

•Invalid Date - Present•HYDERABAD, Telangana

Willing to handle Offline & Online training sessions. Deliver daily lectures and maintain high lecture rating. Identify the gaps in learning when working with students. Design and develop engaging study material and content. Good at managing the cross-team effort develop and deliver a complete end to end Data Science Projects.

DATA SCIENCE INTERN

Almabetter

•Invalid Date - Invalid Date•Bangalore, Karnataka

Learnt skills like Python, SQL, Statistics, Feature engineering, EDA, Data visualisation, Machine Learning, Deep learning, Deployment and other skills like teamwork and problem solving. Worked on projects like Online Retail Customer Segmentation, Credit Card Fraud Detection, and Bike Sharing Demand Prediction, and gained proficiency in Python. Gained knowledge of new technologies like Tableau, Scikit-learn, TensorFlow, Keras and transformed the entire EDA project to an interactive tableau dashboard-Global terrorism EDA.

Education

HINDU COLLEGE OF GUNTUR

Bachelor of Commerce

Invalid Date - Invalid Date•Grade: 57%

Pragati -junior college

12th

Invalid Date - Invalid Date•Grade: 78.5%

Licenses & Certifications

Gold Badge in SQL

HackerRank

• No expiration

Skills

Python
SQL
Pandas
Numpy
Matplotlib
Seaborn
Tensorflow
Keras
SpaCy
Excel
Tableau
Jupyter Notebook
Linear Regression
Logistic Regression
Decision Tree
Random Forest
SVM
K-NN
Naive Bayes
NLP
Gradient Boost
XG boost
PCA
K-means
Hierarchical Clustering
DBSCAN
ANN
CNN
RNN
OPEN CV
Face Detection
Object tracking
Face Recognization
Feature Engineering
RFM