data-scientist



DataKnobs is startup and building new data products using AI. Our mission is to make data useful and usable. Our products include kreatewebsites.com and kreatebots.com

kreatewebsites - generate websites
kreatebots - train bots
abexperiment - ab test websites, chatbots, experiment with ML agents

Why Join Us


You can make an immediate impact at DataKnobs. We lead with curiosity and aim for the highest and embracing ambiguity as it comes. Join us and make impact happen with a career at Dataknobs.

Role : Data Scientist




What You'll Do:
Responsible for the development of Data Science , generating insight from time series data
Build features, machine learning models
Create advance visualization
Work with business teams to deliver results.

Qualifications

Minimum Qualifications:

A degree in data science, Statistics, Applied Mathematics or similar quantitative fields
1+ years of experience
Hands-on experience in one or more of the following areas: data science, machine learning, deep learning, and statistical modeling methods.
Strong coding skills, especially in Python/. Knowledge of Cloud.

Preferred Qualifications:
1+ years of experience
Knowledge of deep learning, GAN, statistical model
Knowledge of cloud - GCP, Azure, AWS

In this position, you will be working with talented machine learning , statisticians, software engineers, and business groups.

From the Slides blog

Create Slide Titles

 
Create Slide Titles
def create_slide_titles(topic, num_slides):
prompt = f"Generate {num_slides} short slide titles for the topic '{topic}'."
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role":"system","content":prompt}],
temperature=0.0,
top_p=0.1,
max_tokens=200,
n=1,
request_timeout = 150)
return completion.choices[0].message.content.split("/n")
Use a prompt and make a call to open AI.
Ask Open AI/Othe LLM model to create N slides for given topic
Prompt
Generate {num_slides} short slide titles for the topic '{topic}

Spotlight

Futuristic interfaces

Future-proof interfaces: Build unified web-chatbot experiences that anticipate user needs and offer effortless task completion.